Business Overview
In logistics, the last mile is the most expensive and the most unpredictable. Failed deliveries cost millions annually in rerouting, refunds, and lost customer trust. Yet most predictive tools struggle with the chaotic nature of delivery environments, offering little to no explanation for failure risks. With Snake, logistics teams can not only forecast failures with precision but also understand why turning data into actionable insights before it happens.
Input data
Supervised tabular data from delivery logs, including GPS data, traffic patterns, delivery windows, weather, driver history, customer availability, and past failure records.
Output
Predict: Real-time risk scoring for each upcoming delivery, highlighting potential failure points. Explain: RAG-based explanation showing which variables (e.g., time window, address anomalies, weather) drive the risk prediction. Deploy: Fully replicable model that integrates into route optimization systems, enabling proactive rerouting or customer engagement. In trials, Snake successfully flagged 17.5% of delivery failures in advance — with only 0.7% impact on service continuity, offering the perfect trade-off between risk mitigation and operational fluidity.
