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    Retail and consumer goods

    How do we understand the customer better and run leaner?

    Retail and consumer goods companies operate on tight margins and serve customers across many channels. We connect sales, inventory and service data to forecast demand and resolve customer requests faster.

    Starts with: Business processes

    Find where to start →

    A store associate checking stock on a tablet

    What we offer

    • Demand forecasting and replenishment

      Inventory matched to the demand of each store and channel, based on sales, seasonality and logistics.

      Also known as: Forecasting · supply chain analytics

    • Service resolved on first contact

      Agents integrated with ERP and CRM resolve common requests, such as exchanges and cancellations.

      Also known as: Agentic AI · omnichannel service

    • Single customer view

      Store, e-commerce and loyalty data integrated to understand purchasing behavior.

      Also known as: Customer data platform · analytics

    • Channel and system integration

      Orders, inventory and payments connected across physical stores, e-commerce and marketplaces.

      Also known as: System integration · APIs

    Processes Semantix AI Suite runs in your sector

    Examples of application

    • Exchanges and returnsOrder found, policy applied and return label generated.
    • Order supportStatus, delivery and cancellation solved in the first conversation.
    • Stock replenishmentStock-outs flagged and orders suggested to the buyer.
    See the business areas →

    Cases

    Results from real projects

    Clients are not named, for confidentiality.

    • Retail and consumer goodsForecasting and planning

      Demand forecasting in pharmacy retail

      Challenge
      Replenishment calculated on outdated assumptions, long lead times in some stores and high disposal costs.
      What we did
      AI demand forecasting for every SKU and a new replenishment calculation that includes external factors and lead time.
      • −42%stock-outs
      • −13%inventory

      Pilot · MVP in 20 stores, 1 month

    • Retail and consumer goodsForecasting and planning

      Stock-outs and losses in a supermarket chain

      Challenge
      Rising stock-outs, unavailable products that were hard to spot and losses from manual workarounds.
      What we did
      Demand forecasting by SKU and store, an automated pipeline to run the model and a monitoring dashboard.
      • −60%stock-outs
      • −12%losses

      Pilot · MVP in 6 stores, 1 month

    • Retail and consumer goodsMaster data and customer 360

      A single customer view in a fashion group

      Challenge
      Customers spread across many systems and brands, and a CRM to restructure in line with data protection law.
      What we did
      A dedicated data architecture, a customer master record, MDM, stewardship, AI segmentation and self-service BI.
      • 100%of customers in MDM
      • Everybrand in the group segmented

      Measured result

    • Retail and consumer goodsSales and customers

      Clothing recommendations in e-commerce

      Challenge
      Generic recommendations that did not reflect each customer’s style.
      What we did
      Deep learning recommendations based on style, keywords and price history.
      • +22%sales over the previous recommendations

      Measured result

    • Retail and consumer goodsForecasting and planning

      Why products don’t sell at the point of sale

      Challenge
      SKUs selling below expectations, with no way to tell where or why.
      What we did
      Forecasts by SKU and point of sale, market intelligence collection and automatic detection of causes.

      Delivery

    • Retail and consumer goodsNatural language

      Consumer opinion on marketplaces

      Challenge
      Thousands of marketplace reviews with no structured reading.
      What we did
      Review collection, a sentiment model and an indicator dashboard by store and SKU.

      Delivery

    See all cases

    Clients in this sector

    • Magalu
    • Natura
    • Riachuelo
    • Coca-Cola

    Display of brands subject to usage authorization.

    Every sector has its own bottleneck

    The method does not change: we understand the problem, map the workflow, check what already exists and define a first step with real impact.

    Talk to Semantix

    Not sure what a term means? That’s fine

    Nobody should have to speak technology to understand a transformation.

    Enterprise AI Company
    A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
    Hybrid workforce
    AI agents handle the volume; specialists decide the exceptions and the risky cases.
    Operation that learns
    Every human decision becomes knowledge, so the next similar case is faster and cheaper.
    Outcome-based contract
    You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
    Context
    Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
    AI
    Computers able to perform tasks that would normally require human intelligence.
    Agent
    An AI system that can carry out tasks using tools.
    Workflow
    The path a piece of work travels inside a company.
    API
    A way of letting systems talk to each other.
    Cloud
    Computing and storage reached over the internet.
    Data Platform
    An environment that organizes and serves the company’s data.
    Agentic AI
    AI that can understand goals and carry out tasks within defined limits.
    AI Harness
    The structure that supplies the context, tools, rules and controls an agent needs to act safely.