Merchandise Analytics Features

Merchandise Analytics

Retail analytics solution

5.0/5 (2 reviews)

Merchandise Analytics Feature Summary

  • Machine Learning
  • Natural Language Interface

Competitor Feature Comparison

API
Accounting Integration
Alerts / Escalation
Demand Forecasting
Employee Management
Inventory Management
Multi-Location
Order Management
POS
Predictive Analytics
Price Management
Promotions Management
Real Time Analytics
Real Time Data
Real Time Monitoring
Retail Inventory Management
Returns Management
Sales Analytics
Sentiment Analysis
Shipping Management
Trend Analysis
Vendor Management
Learn moreCompare App
API
Accounting Integration
Alerts / Escalation
Demand Forecasting
Employee Management
Inventory Management
Multi-Location
Order Management
POS
Predictive Analytics
Price Management
Promotions Management
Real Time Analytics
Real Time Data
Real Time Monitoring
Retail Inventory Management
Returns Management
Sales Analytics
Sentiment Analysis
Shipping Management
Trend Analysis
Vendor Management
Visit WebsiteCompare App
API
Accounting Integration
Alerts / Escalation
Demand Forecasting
Employee Management
Inventory Management
Multi-Location
Order Management
POS
Predictive Analytics
Price Management
Promotions Management
Real Time Analytics
Real Time Data
Real Time Monitoring
Retail Inventory Management
Returns Management
Sales Analytics
Sentiment Analysis
Shipping Management
Trend Analysis
Vendor Management
Visit WebsiteCompare App

Merchandise Analytics Feature Reviews

2 reviewers had the following to say about Merchandise Analytics's features:

Kerry Wolfe

Under Promise and Over Deliver

2019-08-27

In particular: - Optimized inventory and assortment - Better sales forecasting - Understanding sale performance by channel and category

Pros

We were able to very quickly get real business value out of the solution which helped to get by in.

Cons

There is nothing we don't like - the product has exceeded expectations

Rating breakdown

Value for money
Ease of use
Features

Time used: 2+ years

Frequency of use: Weekly

Likelihood to recommend

10/10
Source: Capterra
Helpful?   Yes   No
Read more
Alok Dharadhar

Merchandise Analytics review

2019-08-26

Pros

Can be used by any one, any level of the organisation Easy to understand and work on.

Cons

Rigidity in formatting of data. Need more predictive tools

Rating breakdown

Ease of use
Features
Customer support

Time used: 2+ years

Frequency of use: Daily

Likelihood to recommend

9/10
Source: Capterra
Helpful?   Yes   No
Read more