# AI agents for retail and consumer brands.

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

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.

- 01 Stock planned monthly, sold daily Promotions, weather and trends move sales by the day. Buying and stock plans move by the month.

- 02 Every product, market and channel Each product needs pages, translations and checked claims before it can sell anywhere new.

- 03 Service and returns eat margin Claims, refunds and order questions grow with volume, and each one still passes through a person.

## 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

#### Supplier onboarding agent

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

### 02 · Stock

#### Replenishment agent

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

### 03 · Sell

#### Product content agent

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

#### Regulatory check agent

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

### 04 · Deliver

#### Shipment exception agent

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

### 05 · Serve

#### Refunds and claims triage

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

### 06 · Staff

#### Staffing planner

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

#### Training agent

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

## Retail work, in numbers.

## Three steps from question to daily use.

- 01 Find where it pays back 2–4 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→

- 02 Build the first agent 6–12 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→

- 03 Scale and govern Ongoing More agents on one platform, each with its own access rights, EU AI Act risk class and audit log.Agent Governance & Security→

## About AI in retail.

Which retail processes should get an agent first?

Which systems do the agents connect to?

How long until the first agent runs every day?

How is customer data protected under GDPR?

How does the EU AI Act apply to retail agents?

Who owns what is built?

## 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.

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Source: https://twistag.com/industries/retail-consumer