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Production AI across commerce, supply chain, and store operations. Governed, real time, and operated as one system.

Run merchandising, demand, and customer intelligence on one AI operating layer

Operate Retail AI and Agentic AI across merchandising, pricing, inventory, customer engagement, and fulfilment within a unified execution runtime.

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Solutions

Retail

Retail AI is deployed across channels.
It is not yet operating as one system.

Most retailers run AI across demand forecasting, personalization, and supply chain. Few can operate it continuously across stores, digital, and fulfilment environments.

AI Now:

Drives pricing, demand, and assortment decisions in real time

Operates across ecommerce, stores, and fulfilment networks

Supports merchandisers, planners, and operations teams

Must be governed during execution, not after deployment

Where retail AI breaks without an operating layer

Merchandising, supply chain, and customer intelligence operate in silos

Governance sits outside pricing and operational decisions

Omnichannel execution remains fragmented

Each new use case introduces new tooling, vendors, and operational complexity

Retailers are not lacking AI capability.
They are lacking a system to run it across commerce operations.

Unlimited Retail AI and Agentic AI. One governed runtime.

Demand and Merchandising Intelligence Operating at Execution

Run forecasting, assortment, and pricing decisions within controlled execution environments.

Demand signal intelligence
Assortment optimization
Dynamic pricing decision support

Inventory and Supply Chain Intelligence in Motion

Operate replenishment, allocation, and fulfilment intelligence in real time.

Inventory optimization
Allocation intelligence
Fulfilment prioritization

Customer Intelligence Across Omnichannel Experiences

Run personalization, engagement, and retention inside governed execution workflows.

Customer segmentation intelligence
Next - best engagement actions
Loyalty and retention insights

Store and Operations Intelligence Across Locations

Enable operational visibility and decision support across stores and field teams.

Store performance intelligence
Workforce planning insights
Operational anomaly detection

Agentic Copilots for Merchandising, Planning, and Operations Teams

Assist retail teams with governed decision support across planning and execution.

Merchandising copilots
Planning and allocation assist
Operations support copilots

Retail Workflows Expanding Without New Stacks or Vendor Sprawl

Promotion and campaign intelligence

Category performance analytics

Supplier and vendor performance monitoring

Returns and reverse logistics optimization

Basket analysis and cross - sell intelligence

Customer lifetime value modelling

Fulfilment cost optimization

Omnichannel experience intelligence

Demand sensing support

Model governance workflows

Retail AI in Production

Real deployment. Measurable operational impact.

Transform Logistics with AI-Powered Fleet Analytics

A leading Indian glassware and consumer product manufacturer managing a large and complex logistics network across the country.

Download Case Study

Kernel - Governed Execution across commerce, supply chain, and store operations

Policies operate inside pricing, merchandising, and operational workflows.

Governance - as - code at runtime
Policy enforcement across models, agents, and workflows
Auditability, traceability, and reversibility embedded into execution

Built for retail operations and compliance environments

Infosys Finacle’s Open Source Services Partner FY25

InsurTech of the Year 2025

Supports governance, auditability, and operational accountability across merchandising, supply chain, and customer engagement.

Scale Retail AI without governance gaps, lock - in, or operational fragmentation

Operate merchandising, supply chain, and customer intelligence as one governed system

Reduce friction across planning, pricing, and fulfilment workflows

Scale use cases without multiplying infrastructure or vendors

Strengthen execution visibility and accountability

Move from isolated AI deployments to enterprise retail AI operations