AI for Retail

Every customer served, every shelf stocked

Retailers and D2C brands use our AI for the two things that decide margins: knowing what customers want and never running out of it.

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The problems we keep seeing

Stock in the wrong place

Bestsellers run out while slow movers pile up, forecasting by gut feel can't keep pace with demand shifts.

Support costs that scale with sales

Every order brings 'where is my order', returns, and product questions, and headcount grows with volume.

One-size-fits-all selling

Every shopper sees the same storefront, so conversion and repeat rates stay stuck.

How we help

Demand forecasting

Models that predict what sells where, so inventory sits on shelves, not in warehouses.

Customer support automation

Chat and voice agents handling orders, returns, and product questions across channels.

Personalization engines

Recommendations and offers tuned to each shopper, not each segment.

Back-office automation

Invoice processing, supplier coordination, and reconciliation without manual data entry.

20-30%

typical reduction in stockouts

70%+

of support tickets handled by AI

Higher

repeat purchase rates from personalization

Things we’ve built for retail-type teams

Demand forecastingWhatsApp commerce botProduct recommendationsReturns automationPrice monitoring

Common questions

We sell on marketplaces, our own site, and WhatsApp. Can one system cover all of it?+

Yes, that's the usual setup. We unify orders and conversations across channels so the AI answers with full context wherever the customer writes from.

How much history do you need for demand forecasting?+

A year of sales data is ideal, but we've built useful models with less by blending category patterns and seasonality. Forecasts improve continuously as new data arrives.

Will the support bot know our catalog and policies?+

It's trained on your catalog, FAQs, and policies, and connected to live order data, so it answers with specifics like delivery dates and return eligibility, not generic replies.

Working in retail? Let’s talk specifics.

Tell us your workflow and we’ll tell you honestly where AI helps, and where it doesn’t.