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Best Demand Planning Software

Daniel Rivera
DR
Researched and written by Daniel Rivera

Demand planning software provides businesses with forecasting solutions that help them prepare for future customer demand. Businesses implement demand planning tools to plan and manage future inventory and production. These solutions help businesses serve their customers by predicting their long-term needs. They can better prepare for upcoming demands by ensuring that the proper quantity and type of inventory is stocked when needed. Demand planning solutions rely heavily on predictive analysis and are often a part of supply chain management solutions. This tool can integrate machine learning software to increase predictions by analyzing historical data.

To qualify for inclusion in the Demand Planning category, a product must:

Extract key insights from inventory trackers and other metrics
Convert raw data into actionable forecasts
Support and facilitate automated forecast processes
Involve predictive analysis tools
Produce reliable predictions

Best Demand Planning Software At A Glance

Best for Small Businesses:
Best for Mid-Market:
Highest User Satisfaction:
Best Free Software:
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Highest User Satisfaction:
Best Free Software:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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176 Listings in Demand Planning Available
By IBM
(179)4.4 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Planning Analytics is an AI-powered integrated planning solution that automates your planning, budgeting, and forecasting processes enabling real-time analysis and seamless collaboration. Eliminat

    Users
    • Financial Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 55% Enterprise
    • 31% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • IBM Planning Analytics is a forecasting and budgeting tool that provides advanced capabilities, real-time data access, and collaboration across multiple departments.
    • Reviewers like the tool's scalability, seamless integration with other applications, quick support, automation of budget forecasting and planning, and its ability to handle large amounts of data efficiently.
    • Reviewers noted a steep learning curve, high implementation and maintenance costs, performance issues with larger datasets, challenges in integrating Cognos Analytics on AIX servers, and the need for basic knowledge of data analytics.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Planning Analytics Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Efficiency
    15
    Analytics
    14
    Ease of Use
    12
    Planning
    12
    Planning Efficiency
    12
    Cons
    Learning Difficulty
    9
    Learning Curve
    8
    Missing Features
    6
    User Difficulty
    6
    Lacking Features
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Planning Analytics features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Inventory collaboration
    Average: 8.5
    8.3
    Forecast collaboration
    Average: 8.3
    9.0
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Planning Analytics is an AI-powered integrated planning solution that automates your planning, budgeting, and forecasting processes enabling real-time analysis and seamless collaboration. Eliminat

Users
  • Financial Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 55% Enterprise
  • 31% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • IBM Planning Analytics is a forecasting and budgeting tool that provides advanced capabilities, real-time data access, and collaboration across multiple departments.
  • Reviewers like the tool's scalability, seamless integration with other applications, quick support, automation of budget forecasting and planning, and its ability to handle large amounts of data efficiently.
  • Reviewers noted a steep learning curve, high implementation and maintenance costs, performance issues with larger datasets, challenges in integrating Cognos Analytics on AIX servers, and the need for basic knowledge of data analytics.
IBM Planning Analytics Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Efficiency
15
Analytics
14
Ease of Use
12
Planning
12
Planning Efficiency
12
Cons
Learning Difficulty
9
Learning Curve
8
Missing Features
6
User Difficulty
6
Lacking Features
5
IBM Planning Analytics features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.8
Inventory collaboration
Average: 8.5
8.3
Forecast collaboration
Average: 8.3
9.0
Comprehensive Planning
Average: 8.2
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
By GMDH
(198)4.4 out of 5
Optimized for quick response
2nd Easiest To Use in Demand Planning software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Streamline is an advanced AI-powered planning platform specifically designed for the retail, wholesale, distribution, and manufacturing sectors. This innovative solution enhances decision-making proce

    Users
    No information available
    Industries
    • Retail
    • Consumer Goods
    Market Segment
    • 47% Small-Business
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Streamline Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Forecasting Accuracy
    62
    Ease of Use
    56
    Forecasting
    46
    Demand Forecasting
    44
    Inventory Management
    43
    Cons
    Difficult Learning
    17
    Expensive
    14
    Lacking Features
    13
    Learning Curve
    11
    Data Management Issues
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Streamline features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Inventory collaboration
    Average: 8.5
    8.4
    Forecast collaboration
    Average: 8.3
    8.1
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    GMDH
    Company Website
    Year Founded
    2009
    HQ Location
    New York, US
    Twitter
    @GMDH_Streamline
    1,262 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    74 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Streamline is an advanced AI-powered planning platform specifically designed for the retail, wholesale, distribution, and manufacturing sectors. This innovative solution enhances decision-making proce

Users
No information available
Industries
  • Retail
  • Consumer Goods
Market Segment
  • 47% Small-Business
  • 43% Mid-Market
Streamline Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Forecasting Accuracy
62
Ease of Use
56
Forecasting
46
Demand Forecasting
44
Inventory Management
43
Cons
Difficult Learning
17
Expensive
14
Lacking Features
13
Learning Curve
11
Data Management Issues
10
Streamline features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
8.3
Inventory collaboration
Average: 8.5
8.4
Forecast collaboration
Average: 8.3
8.1
Comprehensive Planning
Average: 8.2
Seller Details
Seller
GMDH
Company Website
Year Founded
2009
HQ Location
New York, US
Twitter
@GMDH_Streamline
1,262 Twitter followers
LinkedIn® Page
www.linkedin.com
74 employees on LinkedIn®

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(10)4.6 out of 5
View top Consulting Services for Oracle Fusion Cloud Demand Management
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Sense, predict, and shape demand to improve your demand forecasting accuracy and inventory strategies. Ensure that the right product is at the right place, at the right time.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Mid-Market
    • 20% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Oracle Fusion Cloud Demand Management Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Integrations
    6
    Forecasting Accuracy
    5
    Ease of Use
    2
    User Interface
    2
    Visibility
    2
    Cons
    Expensive
    5
    Difficult Learning
    3
    Training Required
    2
    Complex Implementation
    1
    Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Fusion Cloud Demand Management features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    9.3
    Inventory collaboration
    Average: 8.5
    9.3
    Forecast collaboration
    Average: 8.3
    9.0
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,139 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Sense, predict, and shape demand to improve your demand forecasting accuracy and inventory strategies. Ensure that the right product is at the right place, at the right time.

Users
No information available
Industries
No information available
Market Segment
  • 80% Mid-Market
  • 20% Enterprise
Oracle Fusion Cloud Demand Management Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Integrations
6
Forecasting Accuracy
5
Ease of Use
2
User Interface
2
Visibility
2
Cons
Expensive
5
Difficult Learning
3
Training Required
2
Complex Implementation
1
Complexity
1
Oracle Fusion Cloud Demand Management features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
9.3
Inventory collaboration
Average: 8.5
9.3
Forecast collaboration
Average: 8.3
9.0
Comprehensive Planning
Average: 8.2
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,139 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 employees on LinkedIn®
Ownership
NYSE:ORCL
(107)4.7 out of 5
6th Easiest To Use in Demand Planning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Experience supply chain software that exponentially improves planning precision. ELIMINATE GUESSWORK No more buying on spreadsheets, gut instinct, or outdated ERP systems. With Blue Ridge, you’ll

    Users
    No information available
    Industries
    • Food & Beverages
    • Wholesale
    Market Segment
    • 49% Mid-Market
    • 28% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Blue Ridge Global Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    25
    Ease of Use
    22
    Inventory Management
    16
    Efficiency
    13
    Inventory Optimization
    13
    Cons
    Forecasting Limitations
    7
    Lacking Features
    6
    Limitations
    5
    Slow Performance
    5
    Complexity
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Blue Ridge Global features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Inventory collaboration
    Average: 8.5
    8.3
    Forecast collaboration
    Average: 8.3
    8.1
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2007
    HQ Location
    Johns Creek, US
    Twitter
    @BlueRidgeGlobal
    855 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    300 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Experience supply chain software that exponentially improves planning precision. ELIMINATE GUESSWORK No more buying on spreadsheets, gut instinct, or outdated ERP systems. With Blue Ridge, you’ll

Users
No information available
Industries
  • Food & Beverages
  • Wholesale
Market Segment
  • 49% Mid-Market
  • 28% Enterprise
Blue Ridge Global Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
25
Ease of Use
22
Inventory Management
16
Efficiency
13
Inventory Optimization
13
Cons
Forecasting Limitations
7
Lacking Features
6
Limitations
5
Slow Performance
5
Complexity
4
Blue Ridge Global features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.8
8.3
Inventory collaboration
Average: 8.5
8.3
Forecast collaboration
Average: 8.3
8.1
Comprehensive Planning
Average: 8.2
Seller Details
Company Website
Year Founded
2007
HQ Location
Johns Creek, US
Twitter
@BlueRidgeGlobal
855 Twitter followers
LinkedIn® Page
www.linkedin.com
300 employees on LinkedIn®
By SAP
(235)4.3 out of 5
7th Easiest To Use in Demand Planning software
View top Consulting Services for SAP Integrated Business Planning
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Respond to new market expectations with real-time supply chain planning capabilities and fulfill future demand profitably supply chain management. Powered by in-memory computing technology within SAP

    Users
    • Consultant
    • Senior Consultant
    Industries
    • Information Technology and Services
    • Consumer Goods
    Market Segment
    • 61% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP Integrated Business Planning Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Forecasting Accuracy
    8
    Supply Chain Management
    8
    Inventory Management
    7
    Demand Forecasting
    6
    Ease of Use
    5
    Cons
    Slow Performance
    5
    Improvement Needed
    4
    Complexity
    3
    Not User-Friendly
    3
    Slow Loading
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Integrated Business Planning features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Inventory collaboration
    Average: 8.5
    8.6
    Forecast collaboration
    Average: 8.3
    8.6
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,846 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

Respond to new market expectations with real-time supply chain planning capabilities and fulfill future demand profitably supply chain management. Powered by in-memory computing technology within SAP

Users
  • Consultant
  • Senior Consultant
Industries
  • Information Technology and Services
  • Consumer Goods
Market Segment
  • 61% Enterprise
  • 28% Mid-Market
SAP Integrated Business Planning Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Forecasting Accuracy
8
Supply Chain Management
8
Inventory Management
7
Demand Forecasting
6
Ease of Use
5
Cons
Slow Performance
5
Improvement Needed
4
Complexity
3
Not User-Friendly
3
Slow Loading
3
SAP Integrated Business Planning features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
8.5
Inventory collaboration
Average: 8.5
8.6
Forecast collaboration
Average: 8.3
8.6
Comprehensive Planning
Average: 8.2
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,846 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
(127)4.7 out of 5
Optimized for quick response
9th Easiest To Use in Demand Planning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Netstock empowers over 2,400 businesses worldwide with smarter demand and supply planning. Integrated with leading ERPs, Netstock helps SMBs free up cash, save time, and make confident decisions. Wit

    Users
    • Supply Chain Manager
    • Purchasing Manager
    Industries
    • Wholesale
    • Retail
    Market Segment
    • 50% Mid-Market
    • 44% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Netstock Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    23
    Inventory Management
    20
    Customer Support
    15
    Forecasting Accuracy
    12
    Dashboard Design
    10
    Cons
    Missing Features
    10
    Poor Reporting
    9
    Reporting Issues
    8
    Lacking Features
    7
    Data Inaccuracy
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Netstock features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Inventory collaboration
    Average: 8.5
    8.8
    Forecast collaboration
    Average: 8.3
    8.1
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NETSTOCK
    Company Website
    Year Founded
    2010
    HQ Location
    Boston, US
    Twitter
    @netstock
    19 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    145 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Netstock empowers over 2,400 businesses worldwide with smarter demand and supply planning. Integrated with leading ERPs, Netstock helps SMBs free up cash, save time, and make confident decisions. Wit

Users
  • Supply Chain Manager
  • Purchasing Manager
Industries
  • Wholesale
  • Retail
Market Segment
  • 50% Mid-Market
  • 44% Small-Business
Netstock Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
23
Inventory Management
20
Customer Support
15
Forecasting Accuracy
12
Dashboard Design
10
Cons
Missing Features
10
Poor Reporting
9
Reporting Issues
8
Lacking Features
7
Data Inaccuracy
6
Netstock features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
8.8
Inventory collaboration
Average: 8.5
8.8
Forecast collaboration
Average: 8.3
8.1
Comprehensive Planning
Average: 8.2
Seller Details
Seller
NETSTOCK
Company Website
Year Founded
2010
HQ Location
Boston, US
Twitter
@netstock
19 Twitter followers
LinkedIn® Page
www.linkedin.com
145 employees on LinkedIn®
(49)4.5 out of 5
10th Easiest To Use in Demand Planning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SO99+ provides the AI-powered dynamic supply chain planning capabilities that allow customers to navigate uncertainty and make better decisions faster. By leveraging automation and employing powerful

    Users
    No information available
    Industries
    • Consumer Goods
    • Automotive
    Market Segment
    • 47% Mid-Market
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Service Optimizer 99+ Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Planning Efficiency
    7
    Forecasting
    6
    Forecasting Accuracy
    6
    Implementation Ease
    6
    Cons
    Outdated Interface
    3
    Poor Interface Design
    3
    Limited Functionality
    2
    Not User-Friendly
    2
    User Interface Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Service Optimizer 99+ features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Inventory collaboration
    Average: 8.5
    8.5
    Forecast collaboration
    Average: 8.3
    8.3
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Boston, MA
    Twitter
    @ToolsGroup
    2,902 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    344 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SO99+ provides the AI-powered dynamic supply chain planning capabilities that allow customers to navigate uncertainty and make better decisions faster. By leveraging automation and employing powerful

Users
No information available
Industries
  • Consumer Goods
  • Automotive
Market Segment
  • 47% Mid-Market
  • 29% Enterprise
Service Optimizer 99+ Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Planning Efficiency
7
Forecasting
6
Forecasting Accuracy
6
Implementation Ease
6
Cons
Outdated Interface
3
Poor Interface Design
3
Limited Functionality
2
Not User-Friendly
2
User Interface Issues
2
Service Optimizer 99+ features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
8.5
Inventory collaboration
Average: 8.5
8.5
Forecast collaboration
Average: 8.3
8.3
Comprehensive Planning
Average: 8.2
Seller Details
Year Founded
1993
HQ Location
Boston, MA
Twitter
@ToolsGroup
2,902 Twitter followers
LinkedIn® Page
www.linkedin.com
344 employees on LinkedIn®
(18)4.7 out of 5
3rd Easiest To Use in Demand Planning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Over the last 30 years, we’ve dedicated all our time to helping business make better and faster supply chain decisions. Focused on demand planning, portfolio management, supply planning and inventory

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 78% Mid-Market
    • 22% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Slim4 features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Inventory collaboration
    Average: 8.5
    9.2
    Forecast collaboration
    Average: 8.3
    8.9
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Slimstock
    Year Founded
    1993
    HQ Location
    Deventer, NL
    Twitter
    @Slimstock
    633 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    513 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Over the last 30 years, we’ve dedicated all our time to helping business make better and faster supply chain decisions. Focused on demand planning, portfolio management, supply planning and inventory

Users
No information available
Industries
  • Retail
Market Segment
  • 78% Mid-Market
  • 22% Small-Business
Slim4 features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 8.8
9.2
Inventory collaboration
Average: 8.5
9.2
Forecast collaboration
Average: 8.3
8.9
Comprehensive Planning
Average: 8.2
Seller Details
Seller
Slimstock
Year Founded
1993
HQ Location
Deventer, NL
Twitter
@Slimstock
633 Twitter followers
LinkedIn® Page
www.linkedin.com
513 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AI powered demand planning solution with predictive analytics, supply chain forecasts, and what-if analysis.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 39% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • o9 Solutions Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    5
    Features
    5
    Business Efficiency
    4
    AI Technology
    3
    Analytics
    3
    Cons
    Expensive
    5
    Complexity
    4
    Complex Setup
    3
    Implementation Complexity
    3
    Resource Intensive
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • o9 Solutions features and usability ratings that predict user satisfaction
    7.2
    Has the product been a good partner in doing business?
    Average: 8.8
    7.5
    Inventory collaboration
    Average: 8.5
    7.2
    Forecast collaboration
    Average: 8.3
    7.5
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2009
    HQ Location
    Dallas, Texas
    Twitter
    @o9solutions
    1,098 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,364 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AI powered demand planning solution with predictive analytics, supply chain forecasts, and what-if analysis.

Users
No information available
Industries
No information available
Market Segment
  • 39% Small-Business
  • 33% Enterprise
o9 Solutions Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
5
Features
5
Business Efficiency
4
AI Technology
3
Analytics
3
Cons
Expensive
5
Complexity
4
Complex Setup
3
Implementation Complexity
3
Resource Intensive
3
o9 Solutions features and usability ratings that predict user satisfaction
7.2
Has the product been a good partner in doing business?
Average: 8.8
7.5
Inventory collaboration
Average: 8.5
7.2
Forecast collaboration
Average: 8.3
7.5
Comprehensive Planning
Average: 8.2
Seller Details
Company Website
Year Founded
2009
HQ Location
Dallas, Texas
Twitter
@o9solutions
1,098 Twitter followers
LinkedIn® Page
www.linkedin.com
3,364 employees on LinkedIn®
By AGR
(17)4.6 out of 5
5th Easiest To Use in Demand Planning software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AGR provides top-tier demand forecasting, inventory management, and replenishment solutions designed to meet the needs of the wholesale, retail, and manufacturing industries. Since 1998, AGR has been

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 76% Mid-Market
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AGR Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    14
    Ease of Use
    14
    Inventory Management
    7
    Inventory Optimization
    7
    Tech Support
    7
    Cons
    Data Inaccuracy
    3
    Forecasting Limitations
    3
    Complexity
    2
    Improvement Needed
    2
    Inaccurate Data
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AGR features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 8.8
    8.1
    Inventory collaboration
    Average: 8.5
    8.8
    Forecast collaboration
    Average: 8.3
    6.7
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AGR
    Year Founded
    1997
    HQ Location
    Reykjavík, Capital Region
    Twitter
    @AGR_inventory
    177 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    139 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AGR provides top-tier demand forecasting, inventory management, and replenishment solutions designed to meet the needs of the wholesale, retail, and manufacturing industries. Since 1998, AGR has been

Users
No information available
Industries
  • Retail
Market Segment
  • 76% Mid-Market
  • 24% Small-Business
AGR Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
14
Ease of Use
14
Inventory Management
7
Inventory Optimization
7
Tech Support
7
Cons
Data Inaccuracy
3
Forecasting Limitations
3
Complexity
2
Improvement Needed
2
Inaccurate Data
2
AGR features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 8.8
8.1
Inventory collaboration
Average: 8.5
8.8
Forecast collaboration
Average: 8.3
6.7
Comprehensive Planning
Average: 8.2
Seller Details
Seller
AGR
Year Founded
1997
HQ Location
Reykjavík, Capital Region
Twitter
@AGR_inventory
177 Twitter followers
LinkedIn® Page
www.linkedin.com
139 employees on LinkedIn®
(28)4.9 out of 5
1st Easiest To Use in Demand Planning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    LEAFIO AI Retail Platform empowering retailers, distributors, and CPG manufacturers with comprehensive supply chain and retail planning and automation solutions in Inventory management, Demand planni

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 79% Mid-Market
    • 14% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • LEAFIO AI Retail Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    20
    Efficiency
    18
    Inventory Management
    17
    Time-saving
    17
    Inventory Optimization
    15
    Cons
    Complex Implementation
    2
    Complex Setup
    2
    Difficult Setup
    2
    Implementation Challenges
    2
    Implementation Complexity
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • LEAFIO AI Retail Platform features and usability ratings that predict user satisfaction
    9.9
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Inventory collaboration
    Average: 8.5
    10.0
    Forecast collaboration
    Average: 8.3
    10.0
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Leafio
    Year Founded
    2014
    HQ Location
    Tallinn, EE
    Twitter
    @Leafio1
    268 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    78 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

LEAFIO AI Retail Platform empowering retailers, distributors, and CPG manufacturers with comprehensive supply chain and retail planning and automation solutions in Inventory management, Demand planni

Users
No information available
Industries
  • Retail
Market Segment
  • 79% Mid-Market
  • 14% Enterprise
LEAFIO AI Retail Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
20
Efficiency
18
Inventory Management
17
Time-saving
17
Inventory Optimization
15
Cons
Complex Implementation
2
Complex Setup
2
Difficult Setup
2
Implementation Challenges
2
Implementation Complexity
2
LEAFIO AI Retail Platform features and usability ratings that predict user satisfaction
9.9
Has the product been a good partner in doing business?
Average: 8.8
10.0
Inventory collaboration
Average: 8.5
10.0
Forecast collaboration
Average: 8.3
10.0
Comprehensive Planning
Average: 8.2
Seller Details
Seller
Leafio
Year Founded
2014
HQ Location
Tallinn, EE
Twitter
@Leafio1
268 Twitter followers
LinkedIn® Page
www.linkedin.com
78 employees on LinkedIn®
(60)4.7 out of 5
4th Easiest To Use in Demand Planning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    StockIQ Technologies offers a cutting-edge supply chain planning software solution designed to optimize demand management, replenishment planning, supplier planning, promotion planning and monitoring,

    Users
    No information available
    Industries
    • Consumer Goods
    • Wholesale
    Market Segment
    • 68% Mid-Market
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • StockIQ Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    22
    Customer Support
    21
    Helpful
    20
    Forecasting Accuracy
    15
    Inventory Management
    13
    Cons
    Forecasting Limitations
    7
    Missing Features
    7
    Data Management Issues
    6
    Improvement Needed
    5
    Challenges in Usage
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • StockIQ features and usability ratings that predict user satisfaction
    9.9
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Inventory collaboration
    Average: 8.5
    8.8
    Forecast collaboration
    Average: 8.3
    7.8
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    StockIQ
    Company Website
    Year Founded
    2015
    HQ Location
    Broomfield, Colorado
    Twitter
    @StockIQ
    LinkedIn® Page
    www.linkedin.com
    23 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

StockIQ Technologies offers a cutting-edge supply chain planning software solution designed to optimize demand management, replenishment planning, supplier planning, promotion planning and monitoring,

Users
No information available
Industries
  • Consumer Goods
  • Wholesale
Market Segment
  • 68% Mid-Market
  • 30% Small-Business
StockIQ Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
22
Customer Support
21
Helpful
20
Forecasting Accuracy
15
Inventory Management
13
Cons
Forecasting Limitations
7
Missing Features
7
Data Management Issues
6
Improvement Needed
5
Challenges in Usage
4
StockIQ features and usability ratings that predict user satisfaction
9.9
Has the product been a good partner in doing business?
Average: 8.8
8.9
Inventory collaboration
Average: 8.5
8.8
Forecast collaboration
Average: 8.3
7.8
Comprehensive Planning
Average: 8.2
Seller Details
Seller
StockIQ
Company Website
Year Founded
2015
HQ Location
Broomfield, Colorado
Twitter
@StockIQ
LinkedIn® Page
www.linkedin.com
23 employees on LinkedIn®
(49)4.4 out of 5
11th Easiest To Use in Demand Planning software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    EazyStock is a smart inventory optimization and demand forecasting tool that lets you forecast with confidence, stock the right items, and optimize your purchasing.  Ditch the spreadsheets and make

    Users
    No information available
    Industries
    • Wholesale
    • Building Materials
    Market Segment
    • 57% Mid-Market
    • 41% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • EazyStock Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    21
    Customer Support
    14
    Time-saving
    11
    Inventory Management
    10
    Forecasting Accuracy
    9
    Cons
    Limitations
    5
    Inaccurate Data
    4
    Limited Customization
    4
    Complexity
    3
    Usability Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EazyStock features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Inventory collaboration
    Average: 8.5
    8.7
    Forecast collaboration
    Average: 8.3
    7.7
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EazyStock
    HQ Location
    Stockholm, SE
    Twitter
    @EazyStock
    721 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    24 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

EazyStock is a smart inventory optimization and demand forecasting tool that lets you forecast with confidence, stock the right items, and optimize your purchasing.  Ditch the spreadsheets and make

Users
No information available
Industries
  • Wholesale
  • Building Materials
Market Segment
  • 57% Mid-Market
  • 41% Small-Business
EazyStock Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
21
Customer Support
14
Time-saving
11
Inventory Management
10
Forecasting Accuracy
9
Cons
Limitations
5
Inaccurate Data
4
Limited Customization
4
Complexity
3
Usability Issues
3
EazyStock features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
8.8
Inventory collaboration
Average: 8.5
8.7
Forecast collaboration
Average: 8.3
7.7
Comprehensive Planning
Average: 8.2
Seller Details
Seller
EazyStock
HQ Location
Stockholm, SE
Twitter
@EazyStock
721 Twitter followers
LinkedIn® Page
www.linkedin.com
24 employees on LinkedIn®
(69)3.7 out of 5
13th Easiest To Use in Demand Planning software
View top Consulting Services for Oracle Demantra
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle's Demantra is a best-in-class provider of demand management, sales & operations planning, and trade promotions management solutions.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Consumer Goods
    Market Segment
    • 71% Enterprise
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Demantra features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Inventory collaboration
    Average: 8.5
    10.0
    Forecast collaboration
    Average: 8.3
    9.2
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,139 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle's Demantra is a best-in-class provider of demand management, sales & operations planning, and trade promotions management solutions.

Users
No information available
Industries
  • Information Technology and Services
  • Consumer Goods
Market Segment
  • 71% Enterprise
  • 25% Mid-Market
Oracle Demantra features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 8.8
8.3
Inventory collaboration
Average: 8.5
10.0
Forecast collaboration
Average: 8.3
9.2
Comprehensive Planning
Average: 8.2
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,139 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 employees on LinkedIn®
Ownership
NYSE:ORCL
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Demand planning ingests hundreds of demand-driving variables and uses machine learning to provide a unique, unbiased demand projection with calculated business impact and risk. This enables higher pla

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 70% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Blue Yonder Demand Planning features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Inventory collaboration
    Average: 8.5
    10.0
    Forecast collaboration
    Average: 8.3
    10.0
    Comprehensive Planning
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1985
    HQ Location
    Scottsdale, AZ
    Twitter
    @BlueYonder
    12,547 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6,752 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Demand planning ingests hundreds of demand-driving variables and uses machine learning to provide a unique, unbiased demand projection with calculated business impact and risk. This enables higher pla

Users
No information available
Industries
  • Retail
Market Segment
  • 70% Enterprise
  • 27% Mid-Market
Blue Yonder Demand Planning features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
10.0
Inventory collaboration
Average: 8.5
10.0
Forecast collaboration
Average: 8.3
10.0
Comprehensive Planning
Average: 8.2
Seller Details
Company Website
Year Founded
1985
HQ Location
Scottsdale, AZ
Twitter
@BlueYonder
12,547 Twitter followers
LinkedIn® Page
www.linkedin.com
6,752 employees on LinkedIn®

Learn More About Demand Planning Software

What is Demand Planning Software?

Demand planning software (also known as demand forecasting software) automates the process of predicting consumer demand to optimize inventory levels. Demand forecasting entails analyzing buying behavior, seasonal patterns, and consumer trends to determine appropriate levels of stock. The ultimate goal is stock optimization—to not have too much or too little inventory. 

Achieving optimal inventory is an important business task because overstocking can lead to dead stock (or unused and unsellable products), which creates unnecessary carrying costs and sales losses. On the opposite end of the spectrum, a shortage of products can result in consumer frustration over sellouts and unavailable products. Demand planning software successfully resolves these issues using analytical tools and collecting point of sale (POS) data to anticipate the necessary size of future reserves. Forecasting metrics can thus inform supply chain management, inventory control, and sales and operations (S&Op) strategy. 

What are the Common Features of Demand Planning Software?

Demand planning software solutions carry out the tasks involved in planning future inventory levels. Thus, all features of this software will in some way automate the process.

Product portfolio management: Demand forecasting software must oversee the product lifecycle, from launch to end-of-life planning. Many products in a business’ portfolio are interdependent, so studying lifecycles in the context of an entire product mix is crucial. Understanding the portfolio mix, in turn, helps understand how demand for similar products affects the demand for another item. 

Statistical forecasting: Using historical data to create predictive models is a central feature of demand forecasting software. These algorithms are developed in a meticulous statistical process of evaluating outliers, exclusions, and assumptions. Linear regression is often used to accomplish this, and it entails taking previous demand levels, plotting them on a graph, and creating a “line of best fit” to help predict where demand will be in the future.

Demand sensing: Incorporating seasonal patterns and current events in the projection of consumer demand is also part of demand planning software. Current events could include disruptions to the supply chain due to weather, infectious diseases, government regulations, and historical trends. Artificial intelligence (AI) and machine learning help accomplish this through inputting inflowing, real-time data into computer algorithms.

Trade promotion management: Trade and marketing promotions naturally spark consumer interest and demand. Supply planning accounts for the likely increase in demand due to limited-time marketing initiatives, promotional tools, and pricing changes. Demand planning software will incorporate these into its statistical models.

AI and machine learning: The difference between pen-and-paper supply chain planning that internal teams conduct and demand forecasting software is the presence of AI and machine learning to develop algorithms and statistical models. A core feature of this software is the ability of a computer to continuously incorporate real-time data and develop insights for effective supply chain strategies. 

Metrics: The final stage of demand planning is assessing results to determine the accuracy and effectiveness of the project, often quantified as key performance indicators (KPIs). Demand planning tools help businesses track the attainment of KPIs throughout and after the forecasting process. Some key metrics include forecast accuracy, inventory turns, fill rates, costs of goods sold, and order fulfillment lead times.

What are the Benefits of Demand Planning Software?

Demand forecasting software effectively automates the process of inventory management to react to changes in consumer demand. What once was an imperfect human process can now be accomplished through computer algorithms and AI. This entails the following benefits:

Improved forecast accuracy: The most crucial aspect of demand planning is the accuracy of the forecast. Finetuned reporting means more insight into anticipated company revenue. In addition, this software can use the preciseness of a current project to improve future projects. For example, if the algorithm is repeatedly underestimating or overestimating demand, it can recalibrate until it more closely matches future consumer demand.

Effective inventory levels: Achieving the perfect balance between overstocking and understocking is the end goal of demand planning. With proper forecasting of stock demand, a business can ensure warehouses and brick-and-mortar stores have enough stock to prevent sellouts, but not too much that products pile up and become unsellable. Effective replenishment of stock, thus, leads to greater revenue. 

Efficient production scheduling: When changes in customer demand are expected, businesses can better anticipate production scheduling, warehousing, and shipping. This is crucial because more streamlined warehousing leads to greater profits.

Optimized labor scheduling: Labor is one of the most expensive costs associated with manufacturing, and planning systems help optimize this through allocating labor appropriately based on expected fluctuations in production. For example, more workers can be scheduled if a busy season is expected. On the other hand, a projection of shrinking demand would lead to fewer scheduled workers to prevent overpaying for labor. In addition, expectations on the timing of completion of projects can be set for employees to work toward when demand planning predicts a change in consumer demand.

Effective product launching: For a new product to be successfully launched, its predicted demand must also be calculated. Demand forecasting solutions accelerate the idea-to-commercialization cycle by connecting high-level ideation with feasibility models and scenario-based profitability modeling.

Who Uses Demand Planning Software?

Multiple people are involved in the supply chain forecasting process. All of these professionals will come in touch with the functionalities of demand planning software.

Demand planners: People who are trained in advanced statistical analysis and responsible for the punching of hard numbers are called demand planners. These professionals will work most closely with demand planning software, and they are responsible for logistics optimization. Demand planners are the ones who can speak the language of computers and know how to manipulate data to produce compelling insights in supply chain decisions. 

Sales and marketing: Promotional events help drive consumer demand, so people involved in sales and marketing will be looped in during the production planning process to ensure future environmental variables help inform the statistical analysis.

Buyers or supply chain managers: People involved in the purchasing process and management of the supply chain will need to be comfortable using demand planning software. When a restriction in market activity is expected, buyers can ensure fewer raw materials are purchased. On the contrary, when the market is expected to expand, buyers ensure enough tools and materials are available for replenishment and warehousing.

Product managers: Executives who are responsible for the management of product suites and high-level business strategy can speak fluently about the product mix and items of interest. They assist in the demand planning process by acting as a subject matter expert on brand strategy, lead times for components, and production times. 

Software Related to Demand Planning Software

Demand planning software is but one facet of the logistics and supply chain industry, it is related to other software solutions that optimize the comprehensive process of selling, procurement, replenishment, and inventory management.

Enterprise resource planning (ERP) systems: ERP systems integrate all aspects of a production-based or distribution business, and they contain financial management, HR, supply chain management, and manufacturing and distribution. ERPs are perhaps most crucial to demand planning software because they provide the data that will be used to develop the forecast.

Supply chain planning software: This software helps plan and organize various aspects of the supply chain. It accomplishes this through detecting issues in the supply chain and predicting supply and demand from consumers. Thus, the predictive features that accompany this software can be used directly with demand planning software.

Inventory control software: Software that assists in the maintenance of proper inventory levels is vital in the functioning of demand planning. This software often uses barcodes and radio-frequency identification when working with stock keeping units (SKUs). Thus, inventory control systems that trigger restocks or prevent overaccumulation of goods will improve the process of responding to consumer demand. 

Challenges with Demand Planning Software

Although demand planning software (and the demand planning process, in general) has the potential to significantly improve a business’ supply chain strategy, it is not without potential downsides and complications.

Complex and theoretical: Some businesses, especially small businesses, believe demand planning software overcomplicate supply chain management. They may not have the manpower to accomplish the daunting process, and the abstract nature of demand planning may not seem worth it.

Cost: The demand planning process can be very expensive, as it is the result of statisticians, warehousing, product managers, finance, and IT professionals who collaborate. Some companies simply may not have the financial resources to accomplish this.

How to Buy Demand Planning Software

Requirements Gathering (RFI/RFP) for Demand Planning Software

The first step in selecting the appropriate software for a company is to accrue a list of requirements that the software must satisfy. Buyers must begin with a long list of requirements that has more broad criteria, and then narrow down to a short list that has more urgent and industry-specific criteria.

Compare Demand Planning Software Products

Create a long list

Buyers can begin creating a long list by mapping out a business’ demand stream and demand drivers, and display the input and output, as well as any technology that is already in use for the demand planning process. The availability of the following features should be considered when creating the list:

  • Available languages and global support
  • Ease of integration
  • Multiple calendar support, such as finance and production

Create a short list

Finally, to create the short list, buyers may consider the statistical analyses the business currently relies on to forecast demand, and then choose which software best fits the existing processes.

  • Full suite of statistical forecasting methods (i.e., ARIMAX, econometric, cluster analysis)
  • Forecast generation using hierarchies, event or pricing models, and what-if scenarios
  • Error measurement protocol
  • Data visualization tools
  • POS data capabilities

Conduct demos

Next, it is crucial to schedule product demonstrations with vendors of interest. Buyers should ask them to show the process of data input, statistical tests conducted, and visualization of data.

Selection of Demand Planning Software

Choose a selection team

A selection team must be formed of various professionals throughout the business to ensure the winning software meets various criteria across organizational needs. These stakeholders include project managers, product managers, IT, and functional end users of the product.

Negotiation

Vendors will bring their strongest salespeople to the negotiating table, so one should be prepared to advocate for their business interests and needs. 

Final decision

The final decision will balance nice-to-haves with must-haves. The ultimate decision on which software to purchase should be a collaborative process with full team buy-in. Purchasing demand planning software is a major financial and human capital investment; as such, the whole planning team should approve.

What Does Demand Planning Software Cost?

Demand planning software tools are expensive, ranging anywhere from $5,000 to $30,000 per user. The number of bells and whistles and advanced features will determine the final price tag. More generally, this software costs about $5,000 to $6,000 for every $100,000 of revenue. However, a company with the resources to afford may find it to be a worthwhile investment due to  indirect cost savings and return on investment (ROI) for more effective supply chain management.

Return on Investment (ROI)

ROI is the time it takes for the cost incurred by an investment to be negated through increases in profitability and efficiency. Demand planning is a long, complicated, and expensive process, so it may take a while to reach ROI.

According to G2 data as of September 16, 2021, businesses achieved ROI in the following intervals with demand planning software:

  • 18.6% accomplished ROI in less than six months
  • 37.2% accomplished ROI between seven and 12 months
  • 20.9% accomplished ROI between 13 and 24 months
  • 4.7% accomplished ROI between 24 and 36 months
  • 4.7% accomplished ROI between 37 and 48 months
  • 9.3% accomplished ROI after 48 months
  • 4.7% never accomplished ROI