Free up time for store associates to better serve customers and create value.
Context
Rizoa wants to build technological assets for retail chains that allow field teams to free up time by streamlining access to information.
We were called upon to build an AI agent facilitating access to data essential to the daily operational life of teams (hygiene and quality standards, business processes, product information, etc.).
Challenges
We had to face 2 challenges:
1 - the multiplicity and quality of data sources (Drives, Product Repositories, BigQuery, Quality Information System,...).
2 - the adoption of AI by field teams: need for smooth integration into the daily workflow in the field and for an adapted UX.
Our approach
A Theodo team dedicated and integrated into Rizoa's internal teams, which made the difference:
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Discovery continues and test & learn
with 8 pilot food stores to find the UX adapted to the store employee
A product pivot
towards everyday actions that helped promote use. The modular approach makes it possible to support this product strategy.
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An iterative technical strategy
the 100% LLM baseline allows you to test the value quickly
“At Theodo, I have found partners capable of guiding complex thinking, while remaining very concrete. Their approach allowed us to align teams and put us on the path to an AI product with a high business impact.”
