Implementing advanced routing algorithms for any vehicle fleet (trucks, vans, ships, planes). Our solutions consider traffic, weather, delivery windows, and vehicle capacities to compute optimal routes. For instance, a delivery company can use our system each morning to assign and sequence stops for drivers, often saving 10–20% on travel distance. We also integrate live traffic and incident data to dynamically re-route drivers when delays occur. Additionally, we use IoT sensors on vehicles (GPS, engine diagnostics) to monitor fleet health, enabling predictive maintenance and safer driving. These capabilities reduce fuel and maintenance costs while improving on-time rates.

Providing real-time visibility across the entire supply chain. We deploy IoT trackers (GPS, RFID, temperature/humidity sensors) on shipments and build dashboards for operations and customers. This means managers can see where each pallet or package is at any moment, and be alerted if something goes wrong (e.g., a delayed vessel or a cold-chain breach). We also integrate data from ports, customs, and weather to predict downstream effects: for example, if a shipment is delayed leaving a warehouse, our system can forecast its impact on final delivery times and suggest faster alternatives. For high-value or sensitive goods, we implement blockchain-based or tamper-evident logs to ensure chain-of-custody and provenance. Enhanced visibility builds trust and allows inventory buffers to be reduced.

Modernizing warehouses with software and robotics. We implement warehouse management systems (WMS) with AI features for optimal slotting (placement of goods), efficient picking paths (batching orders and guiding workers), and demand-driven stocking levels. On the hardware side, we integrate or advise on technologies like conveyor robotics, automated sortation, and autonomous mobile robots (AMRs). Our solutions coordinate multiple robots and human pickers to avoid congestion and maximize throughput. By automating repetitive tasks and guiding operations with AI, warehouses can often double throughput without increasing staff. This is critical as e-commerce grows and warehouses must handle many small individual orders with high accuracy.

Using analytics to design and plan logistics networks. We simulate various configurations of distribution centers, hubs, and transportation modes (road, rail, air, sea) to find the optimal balance of cost and speed. For example, we can determine whether adding a new regional hub would sufficiently reduce delivery times to justify its cost. We also forecast shipping volumes on different lanes and seasons, helping companies pre-book capacity (trucks, containers, freight space) efficiently. These strategic models allow companies to right-size their networks and avoid over- or under-investing in infrastructure.

Anticipating and mitigating supply chain disruptions. We integrate risk data (news, weather, geopolitical events) into our planning tools to provide early warnings. For instance, AI can flag that a typhoon is approaching a key supplier’s location, prompting alternate sourcing or rerouting preemptively. We also perform “what-if” scenario analyses (e.g., how would a major port strike impact shipments?) to build contingency plans. This analytics-driven approach helps companies quantify risks and prepare accordingly. Notably, the same visibility and optimization that power our solutions inherently add resilience: a tightly optimized and well-monitored supply chain can respond quickly to surprises.