

Facilitates verification of retailers’ quality criteria and their compliance with brand requirements through adaptive questionnaires.
Built-in tracking makes it possible to quickly identify unauthorized sellers.
Enables smooth and secure management of contractual commitments with full traceability, centralizing all documents within a single platform.
Stores images of points of sale to verify visual consistency with brand requirements and ensure signage compliance.
This solution delivers major strategic advantages:
Controls are automated and approval processes streamlined, significantly reducing the time required to manage thousands of points of sale.
Process steps are made clear and accessible to retailers, encouraging better adoption of selection criteria.
Through the digitalization of contracts and evaluation grids, the tool reduces paper usage, supporting Corporate Social Responsibility commitments.
Centralized information and controls ensure a compliant and secure distribution network, while providing optimal readiness for audits.
The development of this solution required the integration of advanced technologies:
Enables customization based on different types of points of sale (physical stores, chains, or online).
Evaluates points of sale against precise criteria, reinforcing network reliability and consistency.
With early Deep Learning tests (YOLO model via TensorFlow), the solution explores automated photo analysis to verify the visual compliance of stores with brand standards.
By offering a comprehensive solution to manage distribution networks, this project helps companies adapt to new legal requirements while anticipating future evolutions in both physical and digital commerce.