Industries · Retail & eCommerce
From personalised recommendations and automated customer service to demand forecasting and returns processing — agents that connect your commerce stack, reduce operational cost, and drive measurable revenue impact without stitching together fragile point solutions.
How It Works
We connect the agent to your eCommerce platform, OMS, and product catalogue via Azure API Management — with Cosmos DB powering the low-latency product and customer data access the agent needs.
Azure OpenAI and Azure Machine Learning work together to personalise every customer interaction — predicting intent, scoring recommendations, and generating natural-language responses at scale.
The agent operates consistently across web, mobile app, email, and chat — maintaining customer context across channels and surfacing insights to merchandising and operations teams in real time.
Capabilities
Generates real-time, session-aware product recommendations based on browsing behaviour, purchase history, and inventory signals — increasing average order value and repeat purchase rates.
Handles order status, returns, sizing queries, and product questions across chat, email, and voice — with seamless escalation to human agents when context requires it.
Analyses historical sales patterns, seasonal signals, promotional calendars, and external demand indicators to produce SKU-level demand forecasts that reduce overstock and stockouts.
Enables shoppers to search by image — uploading a photo to surface visually similar products in your catalogue. Powered by Azure AI Vision and Azure AI Search hybrid retrieval.
Automates returns authorisation, label generation, refund eligibility checks, and restocking routing — compressing returns cycle time from days to hours while reducing fraud exposure.
Monitors supplier performance, automates purchase order generation based on reorder thresholds, and surfaces supply chain risk signals before they impact shelf availability.
Built With
Azure AI Practice
By Industry
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