A hand at a shop counter beside a card terminal

AI agents for retail and consumer brands.

Stock, content and service that keep up with demand.

Agents and data platforms for retail and consumer companies, built into the systems already in place, with people approving what matters.

What is changing
  1. 01Stock planned monthly, sold daily

    Promotions, weather and trends move sales by the day. Buying and stock plans move by the month.

  2. 02Every product, market and channel

    Each product needs pages, translations and checked claims before it can sell anywhere new.

  3. 03Service and returns eat margin

    Claims, refunds and order questions grow with volume, and each one still passes through a person.

Where AI pays back first

Agents across the retail chain.

The agents Twistag builds most often for retail and consumer brands, by stage. Each one keeps a person on the decisions that matter.

01 · Source

Suppliers, certificates and risk.

Supplier onboarding agent

Gathers certificates and financial data, runs risk checks and keeps supplier records current.

People approveProcurement approves new suppliers and any risk exception.

02 · Stock

Buying, replenishment and transfers.
Start here

Replenishment agent

Reads sales, stock and supplier lead times, then proposes purchase orders and transfers between warehouses.

People approvePlanners approve orders above a set value or outside the usual pattern.

03 · Sell

Product pages, markets and claims.

Product content agent

Writes product pages and translations in the brand voice for each market, from the product data.

People approveBrand and legal review before anything is published.

Regulatory check agent

Checks products, labels or communications against the rules of each market, citing the regulation behind each finding.

People approveA regulatory specialist signs off each market.

04 · Deliver

Carriers, delays and rebookings.

Shipment exception agent

Watches carrier updates, flags late or damaged shipments and drafts the rebooking and the customer notice.

People approveLogistics leads approve rebookings with extra cost.

05 · Serve

Claims, refunds and questions.

Refunds and claims triage

Sorts incoming claims, checks them against policy and evidence, and prepares a recommendation for each.

People approvePayouts above the threshold and any claim flagged as unusual.

06 · Staff

Rotas and frontline training.

Staffing planner

Forecasts demand by site and day and builds rotas that move people between locations before agencies are booked.

People approveManagers approve each weekly plan and any agency booking.

Training agent

Turns procedures into short lessons and checks understanding for frontline teams on their phones.

People approveTeam leads sign off role certifications.
Proof

Retail work, in numbers.

All retail case studies
How to start

Three steps from question to daily use.

  1. 01Find where it pays back2–4 weeks · from €5,000

    Map the retail chain, score each process on value, effort and risk, and leave with a shortlist and a 90-day plan.

    AI Readiness Sprint
  2. 02Build the first agent6–12 weeks

    One agent on real data, connected to the e-commerce, ERP, PIM or carrier systems already in place, with people approving each action.

    Multi-agent Systems & Agent Engineering
  3. 03Scale and governOngoing

    More agents on one platform, each with its own access rights, EU AI Act risk class and audit log.

    Agent Governance & Security
Questions

About AI in retail.

Which retail processes should get an agent first?

The ones that repeat every day, follow rules a person can explain and are easy to check. Replenishment proposals, product content and claims triage are common first choices. The AI Readiness Sprint ranks them for the specific company.

Which systems do the agents connect to?

The ones already in place: e-commerce platforms and marketplaces, POS, PIM, ERP, warehouse and carrier systems, CRM and helpdesk. Agents connect through APIs or exports, so nothing needs replacing to start.

How long until the first agent runs every day?

Six to twelve weeks from scoping, on real data, with people approving each action until the results hold.

How is customer data protected under GDPR?

Personal data stays in the company’s own cloud account. Each agent has its own access rights, and every action is logged.

How does the EU AI Act apply to retail agents?

Each agent gets a risk classification before it goes live, with the controls that class needs. Most retail agents fall under minimal or limited risk.

Who owns what is built?

The client owns everything: code, prompts, data pipelines and documentation, handed over in full.
Talk to us

Let’s talk.

Tell us about the company and what it needs. A senior lead takes it from there.

A senior lead replies within one working day.

Talk to us

Tell us where work gets stuck.

A senior engineer replies within one working day.

Interested in

Thirty-minute call

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