AI case study

BricoramaShopping assistant

Without expert help, shoppers hesitated to buy paint. Now, an AI guide calculates quantities, suggests colors, and builds their carts.

Published|today

Key results

Messages Per Discussion
17

Result highlights

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The story

Context

A French do-it-yourself retailer supporting consumers through complex home improvement projects that require precise planning and product selection.

Challenge

DIY painting projects require customers to choose the right colors, account for natural lighting, and calculate correct product quantities. Without...

Solution
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Scope & timeline

  • 50% completion rate for 2+ AI experience modules

The company

Bricorama logo

Bricorama

bricorama.fr

French retail chain for DIY, home improvement, tools, and gardening products.

IndustryRetail
LocationVilliers-sur-Marne, France
Employees1K-5K
Founded1975

The implementation partner

Accenture logo

Accenture

accenture.com
IndustryProfessional Services
LocationDublin, Ireland
Employees100K+
Founded1989

The vendor

ROLE IN THIS CASE STUDY

Provided Azure OpenAI Service and ChatGPT capabilities to power the pAInt DIY shopping assistant.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

Bricorama's Shopping assistant is part of this use case:

Conversational Commerce
55 case studies(+75% YoY)
Proven impact?
LowModerateVery Strong
5.5Strong
5.1Strongwithin Retail
7.3Strongwithin Marketing

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