---
title: "GENIA for Retail & consumer goods | AI agents for Retail"
description: "GENIA connects supplier documents, policies, store procedures and team email so AI agents can prepare evidence, answer frontline questions and flag issues, while people decide every exception."
canonical: https://geniaops.com/solutions/industries/retail
last_updated: 2026-10-27
---

# GENIA for Retail & consumer goods | AI agents for Retail

> GENIA connects supplier documents, policies, store procedures and team email so AI agents can prepare evidence, answer frontline questions and flag issues, while people decide every exception.

URL: https://geniaops.com/solutions/industries/retail

1.  [GENIA](https://geniaops.com/)
2.  [Solutions](https://geniaops.com/solutions)
3.  [Industries](https://geniaops.com/solutions/industries)
4.  Retail

Retail & consumer goods

# Run retail on answers, not spreadsheets 

GENIA connects supplier documents, policies, store procedures and team email so AI agents can prepare evidence, answer frontline questions and flag issues, while people decide every exception.

[Talk to us](https://geniaops.com/contact?topic=demo#form)  See the problems

$0 billion 

lost to return and claims fraud by US retailers in 2024

Appriss Retail and Deloitte, 2024

$0.0 trillion 

global cost of inventory distortion from out-of-stocks and overstocks

IHL Group (reported by BRC), 2025

0% 

of consumers have replaced search engines with GenAI tools for product recommendations

Capgemini Research Institute, 2025

[Industries](https://geniaops.com/solutions/industries)[Banking](https://geniaops.com/solutions/industries/banking)[Insurance](https://geniaops.com/solutions/industries/insurance)[Healthcare](https://geniaops.com/solutions/industries/healthcare)[Manufacturing](https://geniaops.com/solutions/industries/manufacturing)[Public sector](https://geniaops.com/solutions/industries/public-sector)[Legal services](https://geniaops.com/solutions/industries/legal)[Consulting](https://geniaops.com/solutions/industries/professional-services)[Retail](https://geniaops.com/solutions/industries/retail)[Energy](https://geniaops.com/solutions/industries/energy)[Logistics](https://geniaops.com/solutions/industries/logistics)

The context

Retailers work on thin margins, with high return volumes and inventory that is rarely where it should be. New EU product rules push supplier data requirements deep into the supply chain. Shoppers increasingly expect fast, accurate product information from any channel, including AI assistants.

Problems and answers

## 4 problems, and how GENIA would tackle each one. 

Problem 01

### Returns fraud and inconsistent policy

Return rules vary by channel, region and product, and staff apply them differently. Fraud and abuse slip through while honest customers face friction at the counter.

$0 billion 

lost to return and claims fraud by US retailers in 2024

[Appriss Retail and Deloitte, Consumer Returns in the Retail Industry (2024)](https://apprissretail.com/blog/how-return-and-claims-fraud-in-2024-is-shaping-retail-strategies-for-2025/)

With GENIA

#### One returns policy, applied consistently

1.  1 Knowledge Hub ingests return policies, store procedures and training videos, indexed by page and minute.
2.  2 Store teams ask the agent and get the rule that applies, with its source cited.
3.  3 Process discovery maps the returns flow and flags control gaps, each with evidence.

Reads from

-   Returns policy
-   Store operations manual
-   Training videos
-   Loss prevention reports

Your people decide. Store managers approve exceptions and refunds outside policy.

Problem 02

### Inventory in the wrong place

Out-of-stocks and overstocks trace back to supplier issues, planning errors and store execution. The early signals sit in email, supplier files and store reports that nobody connects.

$0.0 trillion 

global cost of inventory distortion from out-of-stocks and overstocks

[IHL Group (reported by BRC) (2025)](https://brc.org.uk/news-and-events/news/associate-insight/2025/fixing-inventory-distortion-who-s-winning-who-s-failing-what-s-working/)

With GENIA

#### Connect the signals behind stock issues

1.  1 One objective reviews supplier email and delivery documents for delays and quantity mismatches.
2.  2 Another summarises store reports in parallel, feeding a weekly issue brief for planners.
3.  3 When a reorder decision falls outside its brief, the agent asks the planner with options.

Reads from

-   Supplier email
-   Purchase orders
-   Store visit reports
-   Planning files

Your people decide. Planners and buyers decide orders, transfers and markdowns.

Problem 03

### Supplier data for new product rules

EU ecodesign and Digital Product Passport rules will require fibre, origin and recycled content data that sits with suppliers. Collecting and checking it by email does not scale.

With GENIA

#### Evidence packs built from supplier files

1.  1 Agents read supplier certificates, declarations and spec sheets from shared folders and email.
2.  2 They compile an evidence pack per product, citing each document page used.
3.  3 Missing or conflicting data triggers a question to the sourcing lead with clear options.

Reads from

-   Supplier certificates
-   Spec sheets
-   Supplier email
-   PLM exports

Your people decide. Compliance and sourcing sign off before products go to market.

Problem 04

### Shoppers ask AI, product data lags

Customers increasingly rely on AI assistants for product recommendations. Inconsistent descriptions, care instructions and policies across channels lead to wrong answers and lost trust.

0% 

of consumers have replaced search engines with GenAI tools for product recommendations

[Capgemini Research Institute, What Matters to Today's Consumer 2025 (2025)](https://www.capgemini.com/news/press-releases/71-of-consumers-want-generative-ai-integrated-into-their-shopping-experiences/)

With GENIA

#### One trusted source of product truth

1.  1 Knowledge Hub indexes spec sheets, care guides, policies and approved marketing copy.
2.  2 Agents draft consistent product content per channel, each claim linked to its source document.
3.  3 Content managers review every draft in the flow before anything is published.

Reads from

-   Spec sheets
-   Care guides
-   Approved brand copy
-   Customer policies

Your people decide. Merchandising approves product claims and published content.

A project, objective by objective

## Supplier compliance flow 

1.  Objective 1 Collect supplier declarations Done
    
2.  Objective 2 Check data against product rules Done
    
3.  Objective 3 Request missing evidence In progress
    
4.  Objective 4 Compliance review and sign-off Waiting on you
    
5.  Objective 5 Publish product data pack Next
    

Objectives run in parallel when they can, chain when one needs the other, and stop to ask a person when a decision is not theirs to make.

Ask your knowledge

## One question, a sourced answer. 

Can a customer return a used electric kettle bought online 40 days ago?

GENIA

Online purchases can be returned unused within 30 days (Returns policy 2026, p. 2). Faulty small appliances follow the warranty process instead (Store operations manual, p. 41). Check for a fault before refusing. 

Illustrative example

Regulation

## GENIA prepares the evidence. Your team signs. 

-   EU Ecodesign for Sustainable Products Regulation (ESPR)
-   EU Digital Product Passport
-   EU General Product Safety Regulation
-   EU Deforestation Regulation (EUDR)
-   GDPR

Who uses it

## Built for the people who carry the work. 

Store manager

Buyer

Merchandise planner

Sourcing and compliance manager

Customer service lead

Loss prevention manager

## See it with your own retail documents. 

A short session with our team on a real process of yours. We bring the agents, you bring the paperwork.

[Book a session](https://geniaops.com/contact?topic=demo#form)  [All industries](https://geniaops.com/solutions/industries)

[Previous Consulting](https://geniaops.com/solutions/industries/professional-services) [Back to Industries](https://geniaops.com/solutions/industries)[Next Energy](https://geniaops.com/solutions/industries/energy)

---

For agents: the site index is at https://geniaops.com/llms.txt, every page is available as Markdown (send `Accept: text/markdown` or add `.md` to the path), the public API is described at https://geniaops.com/openapi.json and the MCP server lives at https://geniaops.com/api/mcp.