The Challenge

Across Jumia’s 9 active African markets, daily truck allocation relied on manual estimations—resulting in costly inefficiencies, underutilized fleets, and frequent delivery bottlenecks. With over 1.5 million monthly orders, the lack of precision strained both cost structures and customer satisfaction.

The Solution

Lucia led the design and implementation of an AI-powered forecasting engine that dynamically calculated daily truck requirements by market, region, and volume trends:

• Demand-Driven Deployment: Integrated live order inflow and delivery partner availability to right-size daily operations.

• Real-Time Adjustments: Adapted logistics planning to actual demand fluctuations across urban and rural geographies.

• Scalable Rollout: Standardized the system across 9 countries, enabling cross-border visibility and streamlined logistics control.

Results

• 30% reduction in logistics cost per order through smarter utilization and dynamic routing.

• Unified, data-driven operations across diverse country ecosystems.

• Significant gains in delivery reliability, especially in challenging infrastructure zones.

Strategic Value for BE Inframinds Clients

Lucia brings more than operational leadership—she brings transformation. Her success in scaling predictive logistics in emerging markets is central to how BE Inframinds helps clients reinvent infrastructure with AI. Her work proves a simple truth: when AI leads logistics, precision becomes profit.