From idea to impact: how Secret Emporia is developing smart logistics solutions across Algeria

Overview
Logistics is an essential backbone for economic activity. Many operators in Algeria face fragmented data, inefficient routing and underused assets. We partnered with a regional carrier to design and pilot a stack combining IoT telemetry, predictive demand models, and route-optimization algorithms.

Problem

The operator struggled with unpredictable demand peaks, high fuel and maintenance costs, and poor last-mile reliability. Visibility across fleet and warehouses was limited.

Our approach

1. Telemetry & IoT — instrumented vehicles and storages to capture location, fuel, temperature and utilization metrics.
2. Data platform — ingested telemetry to a central analytics pipeline; deployed dashboards for operations teams.
3. Predictive models — demand forecasting and ETA models reduced wasted movement.
4. Routing — integrated optimization engine to recommend dynamic routes and load plans.

Results

• Estimated 12-18% reduction in route distance in pilot zones.
• Improved on-time delivery rates and fewer missed drops.
• Better asset utilization leading to potential capex deferral.
• Operations teams gained a single source of truth for fleet and warehouse metrics.

Lessons learned

Start with clean telemetry and a small pilot area. Work closely with dispatch teams — optimization algorithms must reflect real-world constraints (breaks, loading times, customer windows). Data quality is the most common blocker; invest in reliable sensors and edge validation.

Next steps

Scaling the platform across regions, adding predictive maintenance, and connecting the routing engine to third-party marketplaces for dynamic load matching.

Want a technical brief or pilot roadmap for your operation? Get in touch.