Offer & Sales Network Performance - Retail / CPG / Luxury

Through analysis of market trends, consumer behavior, and geographical data, we enable clients to enhance distribution efficiency and maximize sales performance. Below, we outline our key methodologies and strategies for data-driven sales network optimization excellence.

Key use cases:

• Consumer behavior analysis: We analyze purchasing patterns and preferences to segment customers, enabling tailored sales strategies.
• Geographical data utilization: We use geographical data to identify optimal locations for sales outlets, maximizing coverage and improving distribution.
• Sales territory design and management: We optimize sales territories by analyzing, ensuring balanced workloads and maximizing opportunities.
• Distribution channel optimization: We optimize distribution channels by assessing performance and customer preferences, helping clients reach target markets effectively and efficiently.

Our success story:

• Network segmentation for a large retailer This project was focused on enhancing warehouse flows and strengthening knowledge of points of sale through profiling studies. It entailed the modeling of warehouse flows to optimize storage efficiency and streamline operations. We implemented point of sale and vendor segmentation strategies, leveraging sales data, positioning, location, and performance metrics. We provided actionable insights to drive strategic decision-making and maximize profitability.

• Geomarketing in the cosmetics industry This strategic initiative aimed to optimize logistics sites and enhance store locations, using advanced AI technologies. Our goal was to maximize operational efficiency and customer satisfaction by strategically placing stores and logistics hubs. Through data-driven analysis and AI algorithms, we identified optimal locations and layouts for stores, ensuring proximity, to target customer demographics, and minimizing logistical costs. We also created personalized point-of-sale recommendations based on comprehensive customer profiles.

We are working on various AWS infrastructures (Bedrock, Q, SageMaker...) and our products rely on AWS services when creating and deploying a platform or a software for a customer.