Use case
An online shop with 5,000 references can reduce time spent on pre-sales queries by 60%. The AI answers immediately on availability, features and comparisons, while the human team focuses on complex sales and customer retention.
AI for retail that wants to improve support and decisions.
We build AI solutions for retail, e-commerce and distribution companies. 24/7 customer support, demand anticipation, stock management automation and intelligent incident resolution.
Common challenges
01
Customer support during demand peaks
Black Friday, Christmas, sales... volume multiplies and the human team doesn't scale.
02
Stock decisions based on intuition
Stock errors cost sales (out-of-stock) or tied-up capital (overstock).
03
Returns and incidents consume resources
Each incident is emails, calls and manual logistics.
04
Product knowledge hard to keep up to date
Catalogues with thousands of SKUs change constantly; staff can't know them all.
Services applied
24/7 customer support
Virtual assistant trained on your catalogue, policies and brand tone, answering product queries and post-sales questions.
Predictive analytics
Demand forecasting by SKU, seasonality, region and channel on your historical sales data.
Intelligent inbox
Automatic classification of post-sales incidents (returns, complaints, queries) with draft replies.
Intelligent lookup
Immediate answers on availability, features and comparisons over your up-to-date product catalogue.
Security applied to this sector
GDPR compliance for client data and purchase histories. Anonymisation of personal data before AI processing. Compatible with the retail sector's regulatory requirements and consumer protection.