Retail & CPG AI Consulting Solutions | Brillio

Retail, Consumer Goods, and Distribution

Accelerate retail commerce with AI-led experiences that reshape how customers engage, shop, and connect.


Keep pace with shifting
consumer demand

Shoppers expect the online price to match the shelf, the item to be in stock, and the offer to feel personal. Behind each moment sits a supply chain, pricing engine, and commerce platform that rarely share the same view. We connect them with data and AI, so retailers, consumer goods brands, distributors, and restaurants can personalize engagement and fulfill at scale.

AI-led decisions from
forecast to checkout

01

Category Copilot

Give category teams one view of customer, product, price, promotion, competitor, and inventory signals. Simulate scenarios across assortment, pricing, promotions, and media mix, then hand governed recommendations straight into the workflow for faster, consistent decisions.

02

Agentic Commerce

Turn customer intent into completed B2C and B2B journeys with goal-based agents that guide search, selection, ordering, and service across digital and assisted channels. Agents escalate to people when needed, lifting conversion and basket value.

03

Demand Forecasting

Create one trusted demand signal by combining sales history with promotions, events, weather, and operational data. Forecast agents show their reasoning, planners stay in control, and every override sharpens the next forecast, improving accuracy and availability.

Real-world outcomes, engineered for the way people shop

11X

Home services and building materials leader grows digital revenue 11X

Three storefronts and three codebases held back a North American building materials distributor. We unified them on one composable commerce platform, opening its first B2C channel, growing digital revenue 11X, and delivering its first $1M digital sales day.

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Analyst-recognized across retail and commerce

Trusted partnerships,
powered by a strong ecosystem

Focus on what moves the needle in a changing world

A leader’s guide to compounding AI ROI in Retail and CPG

White Paper

  • Retail and CPG
  • AI and Data Engineering

A leader’s guide to compounding AI ROI in Retail and CPG

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Agentic AI operating model for retail and CPG value chains

Thought Leadership

  • Retail and CPG
  • AI and Data Engineering

Reimagining retail & CPG value chain with an agent operating model

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Supply chain forecasting challenges and inventory planning inefficiencies

Thought Leadership

  • Banking and Financial Services
  • AI and Data Engineering

The hidden tax of supply chain forecasting today

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Pilots to enterprise-wide value: Your questions answered

We embed AI across the retail value chain through three solutions: Category Copilot, Agentic Commerce, and Demand Forecasting. These solutions help category teams decide faster, lift conversion and basket value, and improve forecast accuracy and availability, all on one governed data and agent foundation.

The Category Copilot solution unifies customer, product, price, promotion, competitor, and inventory signals in one conversational workspace. By simulating scenarios and passing governed recommendations into existing workflows, it helps category teams grow margin, shorten planning cycles, and make more consistent decisions.

The Agentic Commerce solution uses goal-based agents that understand customer intent and draw on product and customer context to guide discovery, ordering, and service. With human escalation built in, it helps retailers and distributors improve conversion and basket value while reducing journey friction.

The Demand Forecasting solution combines historical demand with promotions, events, weather, and operational signals, using models matched to each demand pattern. Explainable forecasts and planner overrides feed a continuous learning loop, helping teams improve availability, lower inventory risk, and align S&OP decisions faster.

Where is demand outrunning your decisions?

Start with one category, storefront, or demand plan. We’ll help you find where AI can lift margin, conversion, or availability first, then scale what works across the business.