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Best Retail Intelligence Software

Subhransu Sahu
SS
Researched and written by Subhransu Sahu

Retail intelligence software helps retailers improve revenue and operations by delivering insights and advanced analytics. This software gathers, manages, and analyzes retail and e-commerce data from multiple sources, such as internal (software such as e-commerce platforms), external (e-commerce marketplaces), and industry benchmarking data provided by third parties.

The data is obtained through integration, parsing, and scraping. Artificial intelligence (AI) and machine learning (ML) are used to clean and analyze data for competitive intelligence, market analysis, brand protection, and pricing optimization.

This type of software is used by retailers that sell online, in-store, and through distribution networks. It can be used in consumer packaged goods (CPG) and durable goods to navigate the high volume of products and transactions.

Retail intelligence software integrates with business intelligence software to help users further analyze the data and create personalized visualizations.

To qualify for inclusion in the Retail Intelligence category, a product must:

Combine retail and e-commerce data from multiple sources
Update, cleanse, and validate data regularly
Provide technology such as AI and ML for advanced analytics
Deliver dashboards and customizable reports to monitor performance
Create industry benchmarking and consumer behavior trends

Best Retail Intelligence Software At A Glance

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

No filters applied
97 Listings in Retail Intelligence Available
(207)4.4 out of 5
Optimized for quick response
5th Easiest To Use in Retail Intelligence 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.

    On a mission to fuel the future of commerce by bringing brands and customers closer together, Stackline is the first full-funnel connected commerce platform for the world’s most innovative brands. St

    Users
    No information available
    Industries
    • Consumer Goods
    • Consumer Electronics
    Market Segment
    • 46% Mid-Market
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Stackline 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
    69
    Data Analysis
    55
    Insights
    50
    Data Comprehensiveness
    42
    Competitive Analysis
    38
    Cons
    Data Inaccuracy
    45
    Data Management Issues
    41
    Poor Categorization
    26
    Limitations
    21
    Difficult Learning
    15
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Stackline features and usability ratings that predict user satisfaction
    8.1
    Data Types
    Average: 8.4
    7.4
    Validation
    Average: 8.4
    8.4
    Ease of Setup
    Average: 8.9
    6.8
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Stackline
    Company Website
    Year Founded
    2014
    HQ Location
    Seattle, US
    Twitter
    @StacklineHQ
    1,955 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    266 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

On a mission to fuel the future of commerce by bringing brands and customers closer together, Stackline is the first full-funnel connected commerce platform for the world’s most innovative brands. St

Users
No information available
Industries
  • Consumer Goods
  • Consumer Electronics
Market Segment
  • 46% Mid-Market
  • 34% Enterprise
Stackline 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
69
Data Analysis
55
Insights
50
Data Comprehensiveness
42
Competitive Analysis
38
Cons
Data Inaccuracy
45
Data Management Issues
41
Poor Categorization
26
Limitations
21
Difficult Learning
15
Stackline features and usability ratings that predict user satisfaction
8.1
Data Types
Average: 8.4
7.4
Validation
Average: 8.4
8.4
Ease of Setup
Average: 8.9
6.8
Correction
Average: 8.4
Seller Details
Seller
Stackline
Company Website
Year Founded
2014
HQ Location
Seattle, US
Twitter
@StacklineHQ
1,955 Twitter followers
LinkedIn® Page
www.linkedin.com
266 employees on LinkedIn®
(110)4.5 out of 5
4th Easiest To Use in Retail Intelligence 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.

    Crisp connects and analyzes retail data across the supply chain, empowering CPG brands with real-time, actionable insights to keep shelves stocked, reduce waste and skyrocket profitability. Crisp'

    Users
    No information available
    Industries
    • Food & Beverages
    • Consumer Goods
    Market Segment
    • 71% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Crisp Data 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
    49
    Data Comprehensiveness
    23
    Data Accuracy
    13
    Data Centralization
    11
    Data Clarity
    11
    Cons
    Data Management Issues
    11
    Data Delays
    7
    Inadequate Reporting
    7
    Export Limitations
    6
    Filtering Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crisp Data Platform features and usability ratings that predict user satisfaction
    7.9
    Data Types
    Average: 8.4
    7.4
    Validation
    Average: 8.4
    8.5
    Ease of Setup
    Average: 8.9
    7.1
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Crisp
    Company Website
    Year Founded
    2016
    HQ Location
    New York, NY
    Twitter
    @Go_Crisp
    90 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    189 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crisp connects and analyzes retail data across the supply chain, empowering CPG brands with real-time, actionable insights to keep shelves stocked, reduce waste and skyrocket profitability. Crisp'

Users
No information available
Industries
  • Food & Beverages
  • Consumer Goods
Market Segment
  • 71% Small-Business
  • 24% Mid-Market
Crisp Data 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
49
Data Comprehensiveness
23
Data Accuracy
13
Data Centralization
11
Data Clarity
11
Cons
Data Management Issues
11
Data Delays
7
Inadequate Reporting
7
Export Limitations
6
Filtering Issues
6
Crisp Data Platform features and usability ratings that predict user satisfaction
7.9
Data Types
Average: 8.4
7.4
Validation
Average: 8.4
8.5
Ease of Setup
Average: 8.9
7.1
Correction
Average: 8.4
Seller Details
Seller
Crisp
Company Website
Year Founded
2016
HQ Location
New York, NY
Twitter
@Go_Crisp
90 Twitter followers
LinkedIn® Page
www.linkedin.com
189 employees on LinkedIn®

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(220)4.9 out of 5
Optimized for quick response
1st Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ContactPigeon empowers retailers to build interactions that resonate deeply with their customers. By unifying real-time customer data with advanced AI and automation engines, we enable businesses to s

    Users
    • Marketing Director
    • Marketing Manager
    Industries
    • Apparel & Fashion
    • Retail
    Market Segment
    • 61% Small-Business
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ContactPigeon 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
    Automation
    50
    Customer Engagement
    50
    Features
    46
    Ease of Use
    45
    Results
    44
    Cons
    Delay Issues
    7
    Learning Curve
    7
    Slow Performance
    7
    Delays
    6
    Segmentation Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ContactPigeon features and usability ratings that predict user satisfaction
    8.9
    Data Types
    Average: 8.4
    9.4
    Validation
    Average: 8.4
    9.7
    Ease of Setup
    Average: 8.9
    9.4
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2014
    HQ Location
    Athens, Greece
    Twitter
    @ContactPigeon
    467 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ContactPigeon empowers retailers to build interactions that resonate deeply with their customers. By unifying real-time customer data with advanced AI and automation engines, we enable businesses to s

Users
  • Marketing Director
  • Marketing Manager
Industries
  • Apparel & Fashion
  • Retail
Market Segment
  • 61% Small-Business
  • 34% Mid-Market
ContactPigeon 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
Automation
50
Customer Engagement
50
Features
46
Ease of Use
45
Results
44
Cons
Delay Issues
7
Learning Curve
7
Slow Performance
7
Delays
6
Segmentation Issues
6
ContactPigeon features and usability ratings that predict user satisfaction
8.9
Data Types
Average: 8.4
9.4
Validation
Average: 8.4
9.7
Ease of Setup
Average: 8.9
9.4
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2014
HQ Location
Athens, Greece
Twitter
@ContactPigeon
467 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
(34)4.7 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.

    SupplyPike is a deductions management platform that empowers suppliers to effortlessly identify and recover retailer deductions while preventing revenue losses in their supply chain. SupplyPike assist

    Users
    No information available
    Industries
    • Consumer Goods
    • Manufacturing
    Market Segment
    • 56% Mid-Market
    • 44% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SupplyPike 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
    19
    Ease of Use
    19
    Helpful
    16
    Supply Chain Management
    7
    Time-saving
    7
    Cons
    Data Management Issues
    5
    Complexity
    2
    Data Delays
    2
    Difficult Learning
    2
    Lacking Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SupplyPike features and usability ratings that predict user satisfaction
    8.5
    Data Types
    Average: 8.4
    8.8
    Validation
    Average: 8.4
    9.4
    Ease of Setup
    Average: 8.9
    8.3
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1987
    HQ Location
    Minneapolis, MN
    Twitter
    @SPS_Commerce
    2,692 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,846 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SupplyPike is a deductions management platform that empowers suppliers to effortlessly identify and recover retailer deductions while preventing revenue losses in their supply chain. SupplyPike assist

Users
No information available
Industries
  • Consumer Goods
  • Manufacturing
Market Segment
  • 56% Mid-Market
  • 44% Small-Business
SupplyPike 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
19
Ease of Use
19
Helpful
16
Supply Chain Management
7
Time-saving
7
Cons
Data Management Issues
5
Complexity
2
Data Delays
2
Difficult Learning
2
Lacking Features
2
SupplyPike features and usability ratings that predict user satisfaction
8.5
Data Types
Average: 8.4
8.8
Validation
Average: 8.4
9.4
Ease of Setup
Average: 8.9
8.3
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
1987
HQ Location
Minneapolis, MN
Twitter
@SPS_Commerce
2,692 Twitter followers
LinkedIn® Page
www.linkedin.com
2,846 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Premise is a data and analytics platform that empowers decision makers with real-time, actionable information. By combining the power of a global network of on-the-ground contributors with industry le

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Small-Business
    • 18% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Premise 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
    1
    Simple
    1
    Cons
    Improvement Needed
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Premise features and usability ratings that predict user satisfaction
    8.5
    Data Types
    Average: 8.4
    8.8
    Validation
    Average: 8.4
    10.0
    Ease of Setup
    Average: 8.9
    8.8
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Premise
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @premisedata
    9,721 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    469 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Premise is a data and analytics platform that empowers decision makers with real-time, actionable information. By combining the power of a global network of on-the-ground contributors with industry le

Users
No information available
Industries
No information available
Market Segment
  • 71% Small-Business
  • 18% Mid-Market
Premise 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
1
Simple
1
Cons
Improvement Needed
1
Premise features and usability ratings that predict user satisfaction
8.5
Data Types
Average: 8.4
8.8
Validation
Average: 8.4
10.0
Ease of Setup
Average: 8.9
8.8
Correction
Average: 8.4
Seller Details
Seller
Premise
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@premisedata
9,721 Twitter followers
LinkedIn® Page
www.linkedin.com
469 employees on LinkedIn®
(170)4.4 out of 5
6th Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Syndigo is the leading provider of MDM, PIM, and PXM, delivering data mastery and exceptional customer experiences across departments, organizations, and commerce platforms. With the largest integrate

    Users
    No information available
    Industries
    • Consumer Goods
    • Retail
    Market Segment
    • 38% Mid-Market
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Syndigo 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
    33
    Customer Support
    28
    Helpful
    24
    Quick Response
    14
    Features
    12
    Cons
    Data Management Issues
    15
    Learning Curve
    8
    Not User-Friendly
    8
    Limitations
    7
    Poor Usability
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Syndigo features and usability ratings that predict user satisfaction
    7.2
    Data Types
    Average: 8.4
    6.7
    Validation
    Average: 8.4
    8.1
    Ease of Setup
    Average: 8.9
    7.8
    Correction
    Average: 8.4
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • User Sentiment
    How are these determined?Information
    These insights are written by G2's Market Research team, using actual user reviews for Syndigo, left between February 2022 and June 2022.
    • Reviewers like Syndigo's features for business process management, which allow them to define and implement custom workflows and rules.
    • Reviewers appreciate the responsive customer service provided by the vendor, which is efficient and reliable.
    • Reviewers enjoy the ability of Syndigo to manage product master data easily and efficiently while maintaining data integrity and accuracy.
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Syndigo
    Company Website
    Year Founded
    2017
    HQ Location
    Chicago, Illinois
    Twitter
    @syndigoLLC
    275 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,312 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Syndigo is the leading provider of MDM, PIM, and PXM, delivering data mastery and exceptional customer experiences across departments, organizations, and commerce platforms. With the largest integrate

Users
No information available
Industries
  • Consumer Goods
  • Retail
Market Segment
  • 38% Mid-Market
  • 32% Enterprise
Syndigo 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
33
Customer Support
28
Helpful
24
Quick Response
14
Features
12
Cons
Data Management Issues
15
Learning Curve
8
Not User-Friendly
8
Limitations
7
Poor Usability
7
Syndigo features and usability ratings that predict user satisfaction
7.2
Data Types
Average: 8.4
6.7
Validation
Average: 8.4
8.1
Ease of Setup
Average: 8.9
7.8
Correction
Average: 8.4
User Sentiment
How are these determined?Information
These insights are written by G2's Market Research team, using actual user reviews for Syndigo, left between February 2022 and June 2022.
  • Reviewers like Syndigo's features for business process management, which allow them to define and implement custom workflows and rules.
  • Reviewers appreciate the responsive customer service provided by the vendor, which is efficient and reliable.
  • Reviewers enjoy the ability of Syndigo to manage product master data easily and efficiently while maintaining data integrity and accuracy.
Seller Details
Seller
Syndigo
Company Website
Year Founded
2017
HQ Location
Chicago, Illinois
Twitter
@syndigoLLC
275 Twitter followers
LinkedIn® Page
www.linkedin.com
1,312 employees on LinkedIn®
(137)4.4 out of 5
3rd Easiest To Use in Retail Intelligence software
Save to My Lists
Entry Level Price:$6,000.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At etailinsights, our research team and proprietary web crawlers source new eCommerce Leads for you, so that you can focus on crafting the right messages and winning more Online Retail clients. Our in

    Users
    No information available
    Industries
    • Computer Software
    • Logistics and Supply Chain
    Market Segment
    • 43% Mid-Market
    • 36% Small-Business
    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.
    • Etailinsights is a platform that provides data on ecommerce prospects and allows users to filter and search this data based on various parameters.
    • Users frequently mention the extensive amount of data provided, the ability to customize searches based on geography and tech capabilities, and the user-friendly interface that aids in efficient targeting and engagement of decision-makers in the ecommerce space.
    • Reviewers noted that some of the contact information can occasionally be outdated or incomplete, leading to time spent verifying data, and that integration with other CRM tools can require manual effort, potentially slowing down workflow.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Etailinsights 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
    Contact Information
    21
    Accurate Data
    18
    Data Accuracy
    14
    Lead Generation
    13
    Cons
    Limited Contacts
    14
    Outdated Information
    11
    Inaccuracy
    10
    Limited Contact Information
    10
    Inaccurate Data
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Etailinsights features and usability ratings that predict user satisfaction
    8.1
    Data Types
    Average: 8.4
    8.2
    Validation
    Average: 8.4
    8.9
    Ease of Setup
    Average: 8.9
    8.2
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    Cary, NC
    Twitter
    @etailinsights
    1,259 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At etailinsights, our research team and proprietary web crawlers source new eCommerce Leads for you, so that you can focus on crafting the right messages and winning more Online Retail clients. Our in

Users
No information available
Industries
  • Computer Software
  • Logistics and Supply Chain
Market Segment
  • 43% Mid-Market
  • 36% Small-Business
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.
  • Etailinsights is a platform that provides data on ecommerce prospects and allows users to filter and search this data based on various parameters.
  • Users frequently mention the extensive amount of data provided, the ability to customize searches based on geography and tech capabilities, and the user-friendly interface that aids in efficient targeting and engagement of decision-makers in the ecommerce space.
  • Reviewers noted that some of the contact information can occasionally be outdated or incomplete, leading to time spent verifying data, and that integration with other CRM tools can require manual effort, potentially slowing down workflow.
Etailinsights 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
Contact Information
21
Accurate Data
18
Data Accuracy
14
Lead Generation
13
Cons
Limited Contacts
14
Outdated Information
11
Inaccuracy
10
Limited Contact Information
10
Inaccurate Data
9
Etailinsights features and usability ratings that predict user satisfaction
8.1
Data Types
Average: 8.4
8.2
Validation
Average: 8.4
8.9
Ease of Setup
Average: 8.9
8.2
Correction
Average: 8.4
Seller Details
Year Founded
2011
HQ Location
Cary, NC
Twitter
@etailinsights
1,259 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®
(39)4.3 out of 5
9th Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Market360 helps brands, retailers, and manufacturers grow online revenue with variant-level data and insights. Supported by eCommerce experts, we empower your teams to make decisions at speed and scal

    Users
    No information available
    Industries
    • Information Technology and Services
    • Marketing and Advertising
    Market Segment
    • 49% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Market360 features and usability ratings that predict user satisfaction
    8.0
    Data Types
    Average: 8.4
    8.1
    Validation
    Average: 8.4
    9.0
    Ease of Setup
    Average: 8.9
    7.8
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    eClerx
    Company Website
    Year Founded
    2000
    HQ Location
    Mumbai, Maharashtra
    Twitter
    @eClerx
    1,270 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15,717 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Market360 helps brands, retailers, and manufacturers grow online revenue with variant-level data and insights. Supported by eCommerce experts, we empower your teams to make decisions at speed and scal

Users
No information available
Industries
  • Information Technology and Services
  • Marketing and Advertising
Market Segment
  • 49% Small-Business
  • 38% Mid-Market
Market360 features and usability ratings that predict user satisfaction
8.0
Data Types
Average: 8.4
8.1
Validation
Average: 8.4
9.0
Ease of Setup
Average: 8.9
7.8
Correction
Average: 8.4
Seller Details
Seller
eClerx
Company Website
Year Founded
2000
HQ Location
Mumbai, Maharashtra
Twitter
@eClerx
1,270 Twitter followers
LinkedIn® Page
www.linkedin.com
15,717 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A Category Strategy & Assortment Optimization solution you can trust. Our individualized, tailored-for-you AI platform empowers you to better understand and target your products and retail account

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Insite AI 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
    Informed Decisions
    5
    Insights
    4
    Product Functionality
    4
    Business Growth
    3
    Cons
    Difficult Learning
    1
    Expensive
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Insite AI features and usability ratings that predict user satisfaction
    9.7
    Data Types
    Average: 8.4
    9.4
    Validation
    Average: 8.4
    9.6
    Ease of Setup
    Average: 8.9
    9.2
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Insite AI
    Year Founded
    2018
    HQ Location
    Bentonville, Arkansas, United States
    Twitter
    @InsiteAI
    28 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    62 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A Category Strategy & Assortment Optimization solution you can trust. Our individualized, tailored-for-you AI platform empowers you to better understand and target your products and retail account

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 33% Small-Business
Insite AI 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
Informed Decisions
5
Insights
4
Product Functionality
4
Business Growth
3
Cons
Difficult Learning
1
Expensive
1
Learning Curve
1
Insite AI features and usability ratings that predict user satisfaction
9.7
Data Types
Average: 8.4
9.4
Validation
Average: 8.4
9.6
Ease of Setup
Average: 8.9
9.2
Correction
Average: 8.4
Seller Details
Seller
Insite AI
Year Founded
2018
HQ Location
Bentonville, Arkansas, United States
Twitter
@InsiteAI
28 Twitter followers
LinkedIn® Page
www.linkedin.com
62 employees on LinkedIn®
(473)4.6 out of 5
7th Easiest To Use in Retail Intelligence software
View top Consulting Services for Triple Whale
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.

    We help you get more accurate data, with all your channels integrated in one place, so you can make better, faster decisions for your ecommerce business. Triple Whale is the world’s first all-in-one

    Users
    • CEO
    • Founder
    Industries
    • Marketing and Advertising
    • Retail
    Market Segment
    • 88% Small-Business
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Triple Whale 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
    Attribution Accuracy
    8
    Ease of Use
    7
    Insights
    7
    Data Comprehensiveness
    5
    Informed Decisions
    5
    Cons
    Improvement Needed
    4
    Limitations
    4
    Data Inaccuracy
    3
    Data Management
    3
    Setup Difficulties
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Triple Whale features and usability ratings that predict user satisfaction
    8.8
    Data Types
    Average: 8.4
    8.6
    Validation
    Average: 8.4
    8.7
    Ease of Setup
    Average: 8.9
    8.2
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2021
    HQ Location
    Columbus, US
    Twitter
    @triplewhale
    17,171 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    178 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We help you get more accurate data, with all your channels integrated in one place, so you can make better, faster decisions for your ecommerce business. Triple Whale is the world’s first all-in-one

Users
  • CEO
  • Founder
Industries
  • Marketing and Advertising
  • Retail
Market Segment
  • 88% Small-Business
  • 12% Mid-Market
Triple Whale 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
Attribution Accuracy
8
Ease of Use
7
Insights
7
Data Comprehensiveness
5
Informed Decisions
5
Cons
Improvement Needed
4
Limitations
4
Data Inaccuracy
3
Data Management
3
Setup Difficulties
3
Triple Whale features and usability ratings that predict user satisfaction
8.8
Data Types
Average: 8.4
8.6
Validation
Average: 8.4
8.7
Ease of Setup
Average: 8.9
8.2
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2021
HQ Location
Columbus, US
Twitter
@triplewhale
17,171 Twitter followers
LinkedIn® Page
www.linkedin.com
178 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Bizom is a retail intelligence platform that helps FMCG brands to achieve smarter distribution by improving their manpower efficiency, channel performance and product performance. Our presence is in

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Bizom 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
    Features Variety
    8
    Ease of Use
    7
    Features
    5
    Simple
    5
    Integrations
    4
    Cons
    Limited Customization
    3
    Difficult Customization
    2
    Lacking Features
    2
    Lack of Mobile Support
    2
    Poor UI
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bizom features and usability ratings that predict user satisfaction
    6.7
    Data Types
    Average: 8.4
    6.3
    Validation
    Average: 8.4
    9.2
    Ease of Setup
    Average: 8.9
    5.4
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Bangalore, India
    Twitter
    @get_bizom
    457 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    487 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Bizom is a retail intelligence platform that helps FMCG brands to achieve smarter distribution by improving their manpower efficiency, channel performance and product performance. Our presence is in

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Bizom 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
Features Variety
8
Ease of Use
7
Features
5
Simple
5
Integrations
4
Cons
Limited Customization
3
Difficult Customization
2
Lacking Features
2
Lack of Mobile Support
2
Poor UI
2
Bizom features and usability ratings that predict user satisfaction
6.7
Data Types
Average: 8.4
6.3
Validation
Average: 8.4
9.2
Ease of Setup
Average: 8.9
5.4
Correction
Average: 8.4
Seller Details
Year Founded
2008
HQ Location
Bangalore, India
Twitter
@get_bizom
457 Twitter followers
LinkedIn® Page
www.linkedin.com
487 employees on LinkedIn®
(98)4.5 out of 5
Optimized for quick response
2nd Easiest To Use in Retail Intelligence software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    For fashion and apparel brands who want to grow faster, Style Arcade is a retail analytics platform that turns merchandising into a competitive advantage.​ Instead of relying on inaccessible systems

    Users
    No information available
    Industries
    • Retail
    • Apparel & Fashion
    Market Segment
    • 49% Mid-Market
    • 37% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Style Arcade 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
    30
    Visual Appeal
    10
    Customer Support
    9
    Filtering Options
    9
    Visual Presentation
    9
    Cons
    Filtering Issues
    8
    Data Inaccuracy
    4
    Feature Issues
    4
    Limited Flexibility
    4
    Poor Categorization
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Style Arcade features and usability ratings that predict user satisfaction
    8.6
    Data Types
    Average: 8.4
    7.7
    Validation
    Average: 8.4
    9.1
    Ease of Setup
    Average: 8.9
    7.9
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    New York City, New York
    Twitter
    @stylearcade
    55 Twitter followers
    LinkedIn® Page
    au.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

For fashion and apparel brands who want to grow faster, Style Arcade is a retail analytics platform that turns merchandising into a competitive advantage.​ Instead of relying on inaccessible systems

Users
No information available
Industries
  • Retail
  • Apparel & Fashion
Market Segment
  • 49% Mid-Market
  • 37% Small-Business
Style Arcade 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
30
Visual Appeal
10
Customer Support
9
Filtering Options
9
Visual Presentation
9
Cons
Filtering Issues
8
Data Inaccuracy
4
Feature Issues
4
Limited Flexibility
4
Poor Categorization
3
Style Arcade features and usability ratings that predict user satisfaction
8.6
Data Types
Average: 8.4
7.7
Validation
Average: 8.4
9.1
Ease of Setup
Average: 8.9
7.9
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2018
HQ Location
New York City, New York
Twitter
@stylearcade
55 Twitter followers
LinkedIn® Page
au.linkedin.com
30 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Numerator Insights provides manufacturers and retailers visibility into omnichannel consumer behaviors including brand and channel switching, household penetration, and shopper profiles within a user-

    Users
    No information available
    Industries
    • Consumer Goods
    • Food & Beverages
    Market Segment
    • 55% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Numerator Insights 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 Engagement
    1
    Data Export
    1
    Data Visualization
    1
    Ease of Use
    1
    Efficiency
    1
    Cons
    Data Unavailability
    1
    Insufficient Insights
    1
    Inventory Management
    1
    Limited Analysis
    1
    Limited Data Insight
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Numerator Insights features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    8.3
    Validation
    Average: 8.4
    10.0
    Ease of Setup
    Average: 8.9
    8.8
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Numerator
    HQ Location
    Chicago, Illinois
    Twitter
    @numerator
    1 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,210 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Numerator Insights provides manufacturers and retailers visibility into omnichannel consumer behaviors including brand and channel switching, household penetration, and shopper profiles within a user-

Users
No information available
Industries
  • Consumer Goods
  • Food & Beverages
Market Segment
  • 55% Enterprise
  • 34% Mid-Market
Numerator Insights 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 Engagement
1
Data Export
1
Data Visualization
1
Ease of Use
1
Efficiency
1
Cons
Data Unavailability
1
Insufficient Insights
1
Inventory Management
1
Limited Analysis
1
Limited Data Insight
1
Numerator Insights features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
8.3
Validation
Average: 8.4
10.0
Ease of Setup
Average: 8.9
8.8
Correction
Average: 8.4
Seller Details
Seller
Numerator
HQ Location
Chicago, Illinois
Twitter
@numerator
1 Twitter followers
LinkedIn® Page
www.linkedin.com
2,210 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Intelligence Node is a real-time, AI-driven retail price monitoring and competitive analytics platform designed to help businesses enhance product-level profitability and increase margins through data

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 54% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IntelligenceNode 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
    Competitive Analysis
    2
    Competitor Analysis
    2
    Ease of Use
    2
    Market Analysis
    2
    Pricing Optimization
    2
    Cons
    Bugs
    1
    Data Errors
    1
    Data Inaccuracy
    1
    Data Management Issues
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IntelligenceNode features and usability ratings that predict user satisfaction
    8.3
    Data Types
    Average: 8.4
    8.3
    Validation
    Average: 8.4
    9.2
    Ease of Setup
    Average: 8.9
    8.3
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Francisco, California
    Twitter
    @bigdataNODE
    8,055 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    135 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Intelligence Node is a real-time, AI-driven retail price monitoring and competitive analytics platform designed to help businesses enhance product-level profitability and increase margins through data

Users
No information available
Industries
  • Computer Software
Market Segment
  • 54% Small-Business
  • 29% Enterprise
IntelligenceNode 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
Competitive Analysis
2
Competitor Analysis
2
Ease of Use
2
Market Analysis
2
Pricing Optimization
2
Cons
Bugs
1
Data Errors
1
Data Inaccuracy
1
Data Management Issues
1
Expensive
1
IntelligenceNode features and usability ratings that predict user satisfaction
8.3
Data Types
Average: 8.4
8.3
Validation
Average: 8.4
9.2
Ease of Setup
Average: 8.9
8.3
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2012
HQ Location
San Francisco, California
Twitter
@bigdataNODE
8,055 Twitter followers
LinkedIn® Page
www.linkedin.com
135 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Source Faster. Source Smarter. ScanUnlimited is the fastest way for wholesalers to find high-profit, high-demand products without the hassle of hunting through product sheets. Finding winning products

    Users
    No information available
    Industries
    • Wholesale
    • Apparel & Fashion
    Market Segment
    • 73% Small-Business
    • 14% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Scan Unlimited 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
    2
    Competitive Analysis
    1
    Innovation
    1
    Simple
    1
    Cons
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Scan Unlimited features and usability ratings that predict user satisfaction
    8.0
    Data Types
    Average: 8.4
    8.0
    Validation
    Average: 8.4
    9.0
    Ease of Setup
    Average: 8.9
    8.3
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @scan_unlimited
    51 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

Source Faster. Source Smarter. ScanUnlimited is the fastest way for wholesalers to find high-profit, high-demand products without the hassle of hunting through product sheets. Finding winning products

Users
No information available
Industries
  • Wholesale
  • Apparel & Fashion
Market Segment
  • 73% Small-Business
  • 14% Mid-Market
Scan Unlimited 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
2
Competitive Analysis
1
Innovation
1
Simple
1
Cons
Expensive
1
Scan Unlimited features and usability ratings that predict user satisfaction
8.0
Data Types
Average: 8.4
8.0
Validation
Average: 8.4
9.0
Ease of Setup
Average: 8.9
8.3
Correction
Average: 8.4
Seller Details
HQ Location
N/A
Twitter
@scan_unlimited
51 Twitter followers

Learn More About Retail Intelligence Software

What is Retail Intelligence Software?

Retail intelligence software helps retailers think beyond retail analytics solutions. Retail intelligence software is not only beneficial for retail businesses to collect and measure data from multiple sources such as retail pos systems, retail management systems, retail IoT devices, e-commerce platforms, marketplaces, etc., but it also creates data-driven models that can learn on its own. Artificial intelligence (AI) and machine learning (ML) help glean information from unstructured data, images, and videos to provide retailers with crucial business insights, helping them understand trends and make more accurate predictions.

Retail intelligence software is mainly used by consumer packaged goods (CPG) and the retail industry because of the large volumes of diverse data. It arms retailers with real-time, granular data that helps streamline operations, increase profits, and deliver exceptional customer experiences. It analyzes stockouts, shelf space usage, share of each product, and in-store displays and measures the effectiveness of promotions.

What are the Common Features of Retail Intelligence Software?

The following are some core features within retail intelligence software that can help retailers find the best solution to discover actionable insights:

Omnichannel data integration: Retail intelligence software connects data from across the entire enterprise. It provides uniform, frictionless integration across thousands of data sources from any system, including inventory management, point of sale, ERP, and CRM. The ability to save time and energy by automating the data collection, organization and storage process is an important function of the system.

Real-time data processing and insights: With the power of AI and ML, retail intelligence solutions process data as soon as it is collected and uploaded to the database. It allows real-time access to key KPIs, such as sales, inventory levels, pricing, and more. The intelligence system cleanses, validates, analyzes, and forecasts the data to create easily digestible reports for managers, decision-makers, and stakeholders.

Reporting using customizable dashboards: It empowers retail business users to visualize and analyze data through intuitive dashboards. Retail intelligence tools are equipped with capabilities to create beautiful dashboards that allow users to explore patterns in data and tell a more visual story. Data-rich visualizations take reporting and analytics to the next level and provide businesses with deeper insights into what’s happening at the moment.

What are the Benefits of Retail Intelligence Software?

Retail intelligence solutions are beneficial to retailers, suppliers, and customers. The information derived from the retail data uncovers areas for improvement and optimizes the customer experience at the store. Here’s how all the stakeholders benefit from this software:

Track customer movement: Identifying where customers are coming from is an essential feature of retail intelligence tools. It helps businesses discover how consumers find their products and websites, such as through referrals or email campaigns. It also allows retailers to run hyper-personalized customer campaigns based on their demographics. 

Track customer spending: Retailers leverage retail intelligence platforms to track customer spending patterns and behaviors through loyalty programs. It also allows retailers to devise loyalty programs based on customer purchase history and provide rewards and personalized offerings to improve customer engagement further. 

Deliver personalized shopping experiences: With the help of customer behavior data, retail intelligence platforms enable retailers to create unique experiences tailored to individual customers. From the first visit to post-checkout, retailers have the opportunity to personalize every step of the customer journey.

Gain visibility into supply chain: A retail intelligence platform in conjunction with a retail POS system or retail inventory management system allows retailers to see what's happening in the supply chain. It helps to track the movement and storage of raw materials, work-in-process inventory, finished goods, and end-to-end order fulfillment of the business. Using supply chain data, these tools recommend the best ways to optimize the supply chain and address related issues.

Design campaigns and retargeting: The tool helps design and run targeted marketing campaigns based on customer behavior and measure their effectiveness. Offline retail stores can plan and create trade promotions in retail stores to promote their product and services. Online retailers can see whether marketing campaigns are working and consumers click on links, open emails, etc.

Monitor social media behavior: Retail intelligence software helps retailers monitor social media behavior using sentiment analysis to track product ratings. Data from social media monitoring can be analyzed on retail intelligence platforms to gain insights about a brand, product, competitors, industry, and a lot more.

Who Uses Retail Intelligence Software?

Analysts or managers from different retail and CPG industries use this software to carry out daily routine analytical tasks. Here’s a list of a few personnel who often use this software.

Retail store managers: Store managers use retail intelligence software to track and measure store KPIs such as footfalls, sales, inventory counts, etc., on a monthly, quarterly, and yearly basis.

Analytics managers: Analytics managers implement data mining to draw actionable insights using various algorithms and modeling techniques such as big data, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics using retail intelligence tools.

Brand or marketing managers: Brand or marketing managers use retail intelligence platforms to monitor brand performance through sales data. It helps to track consumer behavior and trends, which allows them to strategize marketing campaigns and loyalty programs.

What are the Alternatives to Retail Intelligence Software?

The following alternative software can partially or completely replace retail intelligence tools:

Retail analytics: Retail analytics software empowers retail businesses by providing insights into all aspects of the store using business intelligence data, such as sales figures, inventory levels, customer data, supply chain data, etc. It is a close alternative to retail intelligence platforms and can be used interchangeably. It mainly helps clean and organize inconsistent data sets and visualize them on a single intuitive retail dashboard for easy understanding and interpretation. A software named retail analytics and business intelligence tools includes features of both analytics and intelligence platforms.

Software Related to Retail Intelligence Software

Related solutions that can be used together with retail intelligence software include other retail software such as:

Retail POS systems: Retail intelligence software can be integrated with retail POS systems to pull out sales data, inventory data, customer purchase history, etc., for data analysis and insight generation.

Retail pricing software: Retail pricing software helps retailers analyze the pricing of products and develop product pricing strategies. Retail intelligence solution further helps in analyzing and optimizing pricing data.

Trade promotion management software: Retail intelligence software also collaborates with trade promotion software to measure the performance of trade promotions. Intelligent dashboards help track the progress and performance of promotional activities in a retail store.

Retail IoT software: Retail IoT devices like optimal staffing level indicators, movement tracking systems, cashier-less payment systems, smart carts, etc., can be integrated with retail intelligence software to analyze the data from these devices and recommend unique points for improvement of in-store operations.

Challenges with Retail Intelligence Software

Retail intelligence solutions can come with their own set of challenges. 

Software integration: Retail intelligence platforms need to be integrated with multiple types of retail software, such as retail POS, retail management, etc., to export and analyze data. A significant risk during software integration is incompatibility, which leads to the inability to perform important functions.

Software expertise: Intelligence tools are difficult for laymen to understand and operate. Tools like these need a good understanding of data, and some data analytics skills are an added advantage. Companies need to ensure that they invest in resource capacity building or hire resources with specific skill sets before investing in such software.

Software subscription: Most retail intelligence solutions are cloud-based and available to buyers on a subscription model. The challenge to buyers is the recurring cost associated with the software. While enterprises might not find it an issue, small and mid-size retail companies may face an issue with allocating a specific budget to avail software features every year.

How to Buy Retail Intelligence Software

Requirements Gathering (RFI/RFP) for Retail Intelligence Software

Requirement gathering ensures that the software has all the features a business needs. When selecting retail intelligence software, it is important to first look at how the business operates and then familiarize oneself with the different types of software available. It also helps to ask critical questions about the need for the software. For example, retail intelligence solutions help analyze complex retail data and present insights, but the buyer should also know if there is enough data to process and how these insights will help improve the existing position of the retail business.

Compare Retail Intelligence Software Products

Create a long list

Depending on the industry, the buyer might want to create a long list of software designed to help businesses. A long list always helps buyers select the right software from many products available for retail intelligence. A long list must consist of products that include metrics like product popularity, the price offered for product add-ons, schemes for upgrading, and round-the-clock customer service support.

Create a short list

A short list narrows down the long list of buyers and helps in constructive decision-making on which software to opt for. Short lists are more specific to the exact need of the buyer mapped with the features offered by the product and generally whittle down the long list based on the budget. For example, buyers looking for cloud-based retail intelligence software must not keep the software installed on-premises on the short list or only select software within the company’s IT budget.

Conduct demos

Demos are an essential part of the entire software implementation process. It ensures that the retail intelligence software is running smoothly and is compatible with the existing business system. It helps meet realistic expectations from the product. During demos, buyers should ask specific questions about the functionalities they care about most. For example, one might ask to be walked through data importing and exporting, tracking features, how to create dashboards and visualization, how to integrate with other software, or how to look at real-time retail data.

Selection of Retail Intelligence Software

Choose a selection team

A team of in-house IT personnel, project managers, heads of departments, retail experts, and end users must be part of the selection process. Along with senior management, this selection team is responsible for selecting the right software and checking the entire retail intelligence software onboarding process. Buyers can also outsource technical consultants with domain-specific expertise to give constructive recommendations and suggestions in this process.

Negotiation

The negotiation process can happen upon receiving a price quote from the vendor. To successfully negotiate, the buyer must keep in mind the available budget to purchase the software and ask the vendor for some discounts in return for an annual upfront payment. Sometimes, a software provider may offer unlimited usage or add-ons if the buyers pay upfront instead of in installments. A successful negotiation means a courteous and constructive interaction that is a win-win for both parties.

Final decision

The final decision should be based on all the information gathered, features offered, and a price agreed upon by both parties involved in the purchasing process of the product. Senior management or the head of the department should decide to select the software after carefully going through all the information provided by the vendor team. Businesses should keep in mind to choose the solution that meets most of, if not all, their requirements. Later, they can upgrade to the premium version anytime.