AI that helps e-commerce and retail companies scale

Our AI agents are trained on your specific product catalog, policies (returns, shipping, warranties), and common customer scenarios. They handle order tracking, return initiation, product questions, and account issues. For queries they cannot resolve, they escalate to human agents with the full conversation context so customers do not have to repeat themselves.

Yes. Our models are specifically designed for the Indian retail calendar, including Diwali, Navratri, Independence Day sales, and regional festivals. The models learn from your historical sales during these periods and factor in promotional calendars and marketing spend to produce more accurate forecasts.

E-commerce companies that implement effective personalization typically see 10-15% improvement in average order value and 20-30% improvement in conversion rates for personalized recommendations vs generic product listings. Results depend on your catalog size and traffic volume.

A focused deployment like a customer support AI agent takes 2-4 weeks from kickoff to production. Demand forecasting models take 3-4 weeks to train on your historical data and validate. Full-suite deployments across multiple use cases are phased over 6-12 weeks.

No. We handle the data engineering, model training, and deployment. You provide access to your transaction data, product catalog, and customer interaction logs. We train your existing team to monitor and use the systems we build.