Manthan Systems
Manthan Software Services Pvt. Ltd. (part of ADA) · Marketing
Manthan Systems is an AI retail analytics platform for stores and consumer brands. It brings customer data, merchandise analytics and personalization into one cloud suite.

About Manthan Systems
What Is Manthan Systems
Manthan Systems is the retail analytics business of Manthan Software Services, an Indian software company founded in Bengaluru in 2004. The platform takes transaction, loyalty and inventory data from retailers and turns it into daily calls: what to stock, which shoppers to target, and which promotions to run.
The company sells to retail and consumer goods teams, not to individual users. Fashion chains, grocery groups, restaurant operators and convenience store networks are the core buyers. The software runs in the cloud on AWS, where Manthan holds a retail competency partnership.
The main limit is access. There's no self-serve signup, no public price list and no trial you can start on your own. You talk to sales, scope a deployment, then pay for an annual enterprise contract. Manthan is also now part of ADA, so new buyers usually start with the ADA team rather than the older Manthan site.
Getting Started
- Contact sales through manthan.com or the ADA site with your store count, catalog size and the systems you already run.
- Agree on scope, whether that's the customer data platform, merchandise analytics, personalization or the full suite.
- Connect data sources. Most teams feed POS, loyalty, e-commerce and inventory files into the platform during onboarding.
- Train merchandising and marketing users on the dashboards, then run the first planning cycle with support from Manthan's team.
Product Information
A quick look at Manthan Systems's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Retail merchandising teams
- Marketing and CRM teams
- Category managers at grocery and convenience chains
Tasks
- Assortment and space planning
- Customer segmentation and campaign targeting
- Demand forecasting and replenishment review
Scenarios
- A fashion retailer planning a seasonal drop
- A loyalty program that outgrew spreadsheets
- A multi banner group merging reports
Key features
Manthan Analytics Platform
This is the core layer that holds retail data and serves the dashboards. It covers sales, inventory, customer and margin measures in one model, so a merchandiser and a marketer read the same numbers. Reports refresh on a schedule you set, and role based access keeps store level staff out of company wide margins.
Customer Data Platform
The customer data platform stitches together POS transactions, loyalty records, app events and campaign responses into a single profile. Identity matching is the hard part, and Manthan handles it with rule sets you configure during onboarding. Once profiles resolve, segments become reusable across marketing tools instead of being rebuilt per campaign.
Merchandise Analytics
Merchandise analytics covers assortment, pricing, promotions and space. Planners compare store clusters, spot items that sell below their shelf cost, and test price changes before they go live. The output is a ranked list of actions rather than a wall of charts, which is the point for teams reviewing hundreds of SKUs.
Experience Personalization
This module decides what a shopper sees next: product recommendations, offers and content on web, app or in store screens. Recommendations lean on purchase and browse history, so a new visitor gets generic results until enough behavior builds up. Retailers usually start with a single channel and expand once the data feed is stable.
Customer Marketing Platform
Campaign planning, audience selection and measurement sit in one place here. You build a segment, pick a channel, schedule the send and then read response rates against the same customer model. That closes the loop between a promotion and the sales it produced, which most email tools can't do on their own.
Vendor Link
Vendor Link connects buyers with suppliers for purchase order and delivery updates. Suppliers log in, confirm quantities and flag shortfalls, so the buying team sees problems before the truck arrives. It's a smaller piece of the suite, and the payoff is fewer phone calls during peak season.
Pros and cons
Pros
- One data model for merchandising and marketing, which removes the usual argument about whose numbers are right.
- Purpose built for retail, so measures like sell-through, basket size and store cluster come as standard rather than as custom work.
- Prescriptive analytics push a ranked action list, not just charts, which helps teams with limited analyst headcount.
- Cloud delivery on AWS keeps infrastructure work off your plate, and Manthan's retail competency status means the deployment pattern is well trodden.
- Vendor Link covers the supplier side of planning, a step most analytics tools leave to email.
Cons
- No public pricing and no self-serve trial, so evaluating it takes a sales cycle before you see the product.
- Identity matching and data cleanup are your problem during onboarding, and weak source data will show up in the forecasts.
- The suite is broad, so a small chain may pay for modules it never opens.
- The company now sits inside ADA, which means product direction and support paths depend on the parent group.
Frequently asked questions
It gives retailers and consumer brands a cloud platform for customer data, merchandise planning and personalization. Teams use it to decide what to stock, who to target and which promotions worked.
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