AI Agents for Retail

Out-of-stocks and overstock destroy margin simultaneously - both caused by demand forecasting that misses real-time signals. AI closes the information gap at the SKU level, reducing lost sales and excess inventory at the same time.

Retail AI Agents

Why AI Matters in Retail

  • Out-of-stocks and overstock together destroy billions in retail margin annually - both caused by the same root problem: demand forecasting that relies on historical averages rather than real-time signals already available in the business.
  • The information needed to forecast demand accurately at the SKU-store level - sales velocity, search trends, weather signals, promotional uplift - exists in systems retailers already operate but no team can process it manually at that granularity.
  • Competitive price monitoring across thousands of SKUs from dozens of competitors is operationally impossible without automation, leaving pricing decisions based on periodic samples rather than continuous intelligence.
  • AI closes the information gap at the store, category, and SKU level - reducing lost sales from stockouts and margin destruction from overstock from the same forecasting infrastructure.

Top Use Cases

Real-Time Personalised Recommendations

Serve each shopper product recommendations based on their live browsing behaviour, purchase history, and similarity to other shoppers - updating as they navigate rather than using static segments.

SKU-Level Demand Forecasting

Predict demand at the SKU-store level incorporating seasonality, promotions, local events, and weather signals - automatically triggering replenishment before stockouts occur.

Returns Processing and Resolution

Automate returns initiation, validate eligibility against purchase data, route physical returns to the correct handling process, and issue refunds without a human touching the case.

Competitive Price Monitoring and Dynamic Pricing

Track competitor pricing across key SKUs in real time and adjust own pricing within pre-approved guardrails to maintain competitiveness without manual monitoring.