Best Retail Intelligence Software

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

Leader:
Highest Performer:
Best Contender:
Most Niche:
Most Trending:
Show LessShow More
Best Contender:
Most Niche:
Most Trending:

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
102 Listings in Retail Intelligence Available
(214)4.4 out of 5
Optimized for quick response
7th 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.

    Users
    No information available
    Industries
    • Consumer Goods
    • Consumer Electronics
    Market Segment
    • 47% 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
    73
    Data Analysis
    57
    Insights
    55
    Data Comprehensiveness
    39
    Competitive Analysis
    36
    Cons
    Data Inaccuracy
    45
    Data Management Issues
    39
    Poor Categorization
    27
    Limitations
    20
    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: 8.8
    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
    1,943 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.

Users
No information available
Industries
  • Consumer Goods
  • Consumer Electronics
Market Segment
  • 47% 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
73
Data Analysis
57
Insights
55
Data Comprehensiveness
39
Competitive Analysis
36
Cons
Data Inaccuracy
45
Data Management Issues
39
Poor Categorization
27
Limitations
20
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: 8.8
6.8
Correction
Average: 8.4
Seller Details
Seller
Stackline
Company Website
Year Founded
2014
HQ Location
Seattle, US
Twitter
@StacklineHQ
1,943 Twitter followers
LinkedIn® Page
www.linkedin.com
266 employees on LinkedIn®
(113)4.5 out of 5
6th 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
    • 70% Small-Business
    • 25% 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
    39
    Data Comprehensiveness
    20
    Data Accuracy
    11
    Insights
    11
    Data Centralization
    10
    Cons
    Data Management Issues
    8
    Inadequate Reporting
    7
    Data Delays
    6
    Slow Loading
    6
    Slow Performance
    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
    7.3
    Validation
    Average: 8.4
    8.5
    Ease of Setup
    Average: 8.8
    7.0
    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
    92 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
  • 70% Small-Business
  • 25% 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
39
Data Comprehensiveness
20
Data Accuracy
11
Insights
11
Data Centralization
10
Cons
Data Management Issues
8
Inadequate Reporting
7
Data Delays
6
Slow Loading
6
Slow Performance
6
Crisp Data Platform features and usability ratings that predict user satisfaction
7.9
Data Types
Average: 8.4
7.3
Validation
Average: 8.4
8.5
Ease of Setup
Average: 8.8
7.0
Correction
Average: 8.4
Seller Details
Seller
Crisp
Company Website
Year Founded
2016
HQ Location
New York, NY
Twitter
@Go_Crisp
92 Twitter followers
LinkedIn® Page
www.linkedin.com
189 employees on LinkedIn®

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
(229)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
    55
    Automation Efficiency
    50
    Customer Engagement
    49
    Ease of Use
    43
    Email Marketing
    41
    Cons
    Slow Loading
    10
    Slow Performance
    10
    Delay Issues
    8
    Learning Curve
    8
    Time-Consumption
    7
  • 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
    9.6
    Ease of Setup
    Average: 8.8
    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
    465 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
55
Automation Efficiency
50
Customer Engagement
49
Ease of Use
43
Email Marketing
41
Cons
Slow Loading
10
Slow Performance
10
Delay Issues
8
Learning Curve
8
Time-Consumption
7
ContactPigeon features and usability ratings that predict user satisfaction
8.9
Data Types
Average: 8.4
9.4
Validation
Average: 8.4
9.6
Ease of Setup
Average: 8.8
9.4
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2014
HQ Location
Athens, Greece
Twitter
@ContactPigeon
465 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
(43)4.7 out of 5
Optimized for quick response
4th 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.

    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
    • 51% Small-Business
    • 49% Mid-Market
  • 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
    23
    Ease of Use
    21
    Helpful
    18
    Efficiency
    11
    Time-saving
    10
    Cons
    Data Management Issues
    5
    Complexity
    2
    Data Delays
    2
    Data Inaccuracy
    2
    Difficult Learning
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SupplyPike features and usability ratings that predict user satisfaction
    8.6
    Data Types
    Average: 8.4
    8.9
    Validation
    Average: 8.4
    9.3
    Ease of Setup
    Average: 8.8
    8.5
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1987
    HQ Location
    Minneapolis, MN
    Twitter
    @SPS_Commerce
    2,682 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
  • 51% Small-Business
  • 49% Mid-Market
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
23
Ease of Use
21
Helpful
18
Efficiency
11
Time-saving
10
Cons
Data Management Issues
5
Complexity
2
Data Delays
2
Data Inaccuracy
2
Difficult Learning
2
SupplyPike features and usability ratings that predict user satisfaction
8.6
Data Types
Average: 8.4
8.9
Validation
Average: 8.4
9.3
Ease of Setup
Average: 8.8
8.5
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
1987
HQ Location
Minneapolis, MN
Twitter
@SPS_Commerce
2,682 Twitter followers
LinkedIn® Page
www.linkedin.com
2,846 employees on LinkedIn®
(20)4.3 out of 5
12th 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.

    CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through ins

    Users
    No information available
    Industries
    • Consumer Goods
    Market Segment
    • 45% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CommerceIQ 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
    Data Analysis
    10
    Ease of Use
    6
    Customer Support
    5
    Efficiency
    5
    Business Growth
    4
    Cons
    Data Inaccuracy
    6
    Software Bugs
    4
    Limited Customization
    2
    Poor Customer Support
    2
    Slow Performance
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CommerceIQ features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.0
    Ease of Setup
    Average: 8.8
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Mountain View, US
    LinkedIn® Page
    www.linkedin.com
    622 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through ins

Users
No information available
Industries
  • Consumer Goods
Market Segment
  • 45% Mid-Market
  • 35% Enterprise
CommerceIQ 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
Data Analysis
10
Ease of Use
6
Customer Support
5
Efficiency
5
Business Growth
4
Cons
Data Inaccuracy
6
Software Bugs
4
Limited Customization
2
Poor Customer Support
2
Slow Performance
2
CommerceIQ features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.0
Ease of Setup
Average: 8.8
0.0
No information available
Seller Details
HQ Location
Mountain View, US
LinkedIn® Page
www.linkedin.com
622 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    What if your brand could predict the perfect moment to nudge every customer automatically? Replenit is agentic AI for marketers who are tired of spraying and praying. Our tech tracks every shopper’s u

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 56% Small-Business
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Replenit 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
    6
    Automation
    5
    Customer Engagement
    3
    Customization
    3
    Ease of Use
    3
    Cons
    Feature Limitations
    2
    Campaign Management Issues
    1
    Complex Usability
    1
    Delays
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Replenit features and usability ratings that predict user satisfaction
    9.6
    Data Types
    Average: 8.4
    9.8
    Validation
    Average: 8.4
    9.7
    Ease of Setup
    Average: 8.8
    9.8
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Replenit
    Company Website
    Year Founded
    2025
    HQ Location
    Warszawa,, PL
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

What if your brand could predict the perfect moment to nudge every customer automatically? Replenit is agentic AI for marketers who are tired of spraying and praying. Our tech tracks every shopper’s u

Users
No information available
Industries
No information available
Market Segment
  • 56% Small-Business
  • 31% Mid-Market
Replenit 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
6
Automation
5
Customer Engagement
3
Customization
3
Ease of Use
3
Cons
Feature Limitations
2
Campaign Management Issues
1
Complex Usability
1
Delays
1
Limited Customization
1
Replenit features and usability ratings that predict user satisfaction
9.6
Data Types
Average: 8.4
9.8
Validation
Average: 8.4
9.7
Ease of Setup
Average: 8.8
9.8
Correction
Average: 8.4
Seller Details
Seller
Replenit
Company Website
Year Founded
2025
HQ Location
Warszawa,, PL
LinkedIn® Page
www.linkedin.com
3 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: 8.8
    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
    9,697 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: 8.8
8.8
Correction
Average: 8.4
Seller Details
Seller
Premise
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@premisedata
9,697 Twitter followers
LinkedIn® Page
www.linkedin.com
469 employees on LinkedIn®
(170)4.4 out of 5
8th 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
    32
    Customer Support
    26
    Helpful
    22
    Quick Response
    12
    Asset Management
    11
    Cons
    Data Management Issues
    15
    Learning Curve
    7
    Limitations
    7
    Not User-Friendly
    7
    Poor Customer Support
    6
  • 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: 8.8
    7.8
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Syndigo
    Company Website
    Year Founded
    2017
    HQ Location
    Chicago, Illinois
    Twitter
    @syndigoLLC
    277 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
32
Customer Support
26
Helpful
22
Quick Response
12
Asset Management
11
Cons
Data Management Issues
15
Learning Curve
7
Limitations
7
Not User-Friendly
7
Poor Customer Support
6
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: 8.8
7.8
Correction
Average: 8.4
Seller Details
Seller
Syndigo
Company Website
Year Founded
2017
HQ Location
Chicago, Illinois
Twitter
@syndigoLLC
277 Twitter followers
LinkedIn® Page
www.linkedin.com
1,312 employees on LinkedIn®
(85)4.5 out of 5
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.

    Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use da

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 55% Mid-Market
    • 27% Enterprise
    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.
    • Intellicus is a data analytics tool that provides security, encryption, customizable reporting, and data integration capabilities.
    • Users like Intellicus for its comprehensive reporting, automatic report delivery, easy interface, ability to connect to any data source, efficient ETL functions, advanced analytics capabilities, and role-based security.
    • Reviewers mentioned that customization of reports and dashboards, scripting or configuring advanced ETL processes, and setting up complex workflows or scripts require time to learn and more skills.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Intellicus 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
    25
    Reporting
    19
    Data Visualization
    18
    Customization
    15
    Dashboard Customization
    14
    Cons
    Complex Usability
    14
    Difficult Learning
    10
    Complexity
    9
    Learning Curve
    8
    Learning Difficulty
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Intellicus features and usability ratings that predict user satisfaction
    9.2
    Data Types
    Average: 8.4
    9.2
    Validation
    Average: 8.4
    8.7
    Ease of Setup
    Average: 8.8
    8.6
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2004
    HQ Location
    Los Gatos, CA
    Twitter
    @Intellicus
    279 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    184 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use da

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 55% Mid-Market
  • 27% Enterprise
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.
  • Intellicus is a data analytics tool that provides security, encryption, customizable reporting, and data integration capabilities.
  • Users like Intellicus for its comprehensive reporting, automatic report delivery, easy interface, ability to connect to any data source, efficient ETL functions, advanced analytics capabilities, and role-based security.
  • Reviewers mentioned that customization of reports and dashboards, scripting or configuring advanced ETL processes, and setting up complex workflows or scripts require time to learn and more skills.
Intellicus 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
25
Reporting
19
Data Visualization
18
Customization
15
Dashboard Customization
14
Cons
Complex Usability
14
Difficult Learning
10
Complexity
9
Learning Curve
8
Learning Difficulty
7
Intellicus features and usability ratings that predict user satisfaction
9.2
Data Types
Average: 8.4
9.2
Validation
Average: 8.4
8.7
Ease of Setup
Average: 8.8
8.6
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2004
HQ Location
Los Gatos, CA
Twitter
@Intellicus
279 Twitter followers
LinkedIn® Page
www.linkedin.com
184 employees on LinkedIn®
(39)4.3 out of 5
11th 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: 8.8
    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
    1,279 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: 8.8
7.8
Correction
Average: 8.4
Seller Details
Seller
eClerx
Company Website
Year Founded
2000
HQ Location
Mumbai, Maharashtra
Twitter
@eClerx
1,279 Twitter followers
LinkedIn® Page
www.linkedin.com
15,717 employees on LinkedIn®
(109)4.5 out of 5
Optimized for quick response
3rd 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
    • 50% Mid-Market
    • 38% 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
    37
    Visual Appeal
    15
    Visual Presentation
    15
    Insights
    14
    Customer Support
    13
    Cons
    Filtering Issues
    9
    Data Inaccuracy
    6
    Feature Issues
    4
    Limited Flexibility
    4
    Metrics Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Style Arcade features and usability ratings that predict user satisfaction
    8.5
    Data Types
    Average: 8.4
    7.5
    Validation
    Average: 8.4
    8.9
    Ease of Setup
    Average: 8.8
    7.7
    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
    54 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
  • 50% Mid-Market
  • 38% 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
37
Visual Appeal
15
Visual Presentation
15
Insights
14
Customer Support
13
Cons
Filtering Issues
9
Data Inaccuracy
6
Feature Issues
4
Limited Flexibility
4
Metrics Issues
3
Style Arcade features and usability ratings that predict user satisfaction
8.5
Data Types
Average: 8.4
7.5
Validation
Average: 8.4
8.9
Ease of Setup
Average: 8.8
7.7
Correction
Average: 8.4
Seller Details
Company Website
Year Founded
2018
HQ Location
New York City, New York
Twitter
@stylearcade
54 Twitter followers
LinkedIn® Page
au.linkedin.com
30 employees on LinkedIn®
(137)4.4 out of 5
5th 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 prospects in the ecommerce industry, allowing users to filter leads and build prospect lists based on various criteria.
    • Users like the extensive amount of data provided, the custom search feature that allows for targeted results, and the user-friendly interface that streamlines the sales process.
    • Reviewers noted that some of the information can be outdated or incomplete, the platform lacks flexibility with organizing static lists, and integration with other CRM tools can require manual effort.
  • 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
    21
    Contact Information
    19
    Accurate Data
    16
    Data Accuracy
    13
    Lead Generation
    12
    Cons
    Limited Contacts
    14
    Outdated Information
    11
    Limited Contact Information
    10
    Inaccuracy
    9
    Outdated 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: 8.8
    8.2
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    Cary, NC
    Twitter
    @etailinsights
    1,255 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 prospects in the ecommerce industry, allowing users to filter leads and build prospect lists based on various criteria.
  • Users like the extensive amount of data provided, the custom search feature that allows for targeted results, and the user-friendly interface that streamlines the sales process.
  • Reviewers noted that some of the information can be outdated or incomplete, the platform lacks flexibility with organizing static lists, and integration with other CRM tools can require manual effort.
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
21
Contact Information
19
Accurate Data
16
Data Accuracy
13
Lead Generation
12
Cons
Limited Contacts
14
Outdated Information
11
Limited Contact Information
10
Inaccuracy
9
Outdated 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: 8.8
8.2
Correction
Average: 8.4
Seller Details
Year Founded
2011
HQ Location
Cary, NC
Twitter
@etailinsights
1,255 Twitter followers
LinkedIn® Page
www.linkedin.com
11 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
    7
    Ease of Use
    6
    Features
    5
    Simple
    4
    Efficiency
    3
    Cons
    Limited Customization
    2
    Slow Loading
    2
    Customization Limitations
    1
    Difficult Customization
    1
    Outdated Interface
    1
  • 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: 8.8
    5.4
    Correction
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Bangalore, India
    Twitter
    @get_bizom
    453 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
7
Ease of Use
6
Features
5
Simple
4
Efficiency
3
Cons
Limited Customization
2
Slow Loading
2
Customization Limitations
1
Difficult Customization
1
Outdated Interface
1
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: 8.8
5.4
Correction
Average: 8.4
Seller Details
Year Founded
2008
HQ Location
Bangalore, India
Twitter
@get_bizom
453 Twitter followers
LinkedIn® Page
www.linkedin.com
487 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: 8.8
    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: 8.8
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®
  • 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: 8.8
    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: 8.8
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®

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.