Nash

About project

We developed an AI-native logistics orchestration platform that continuously plans and recalculates routes, selects the most suitable delivery capacity, protects delivery promises, and coordinates operational workflows across internal fleets, carriers, gig networks, and autonomous vehicles.

Duration

6 months

Technologies

A scalable real-time logistics stack for AI orchestration, route optimization, carrier integrations, operational analytics, and mobile driver workflows.

Roadmap

Discovery & architecture

Month 1

Mapped order, carrier, fleet, driver and customer journeys; designed event-driven architecture, data models, integration contracts and operational guardrails.

Core orchestration platform

Months 2–3

Built carrier adapters, Kafka event flows, AI dispatch scoring, OR-Tools route optimization, DynamoDB state management and the real-time operations console.

Mobile & customer experience

Months 4–5

Delivered the React Native driver app, Mapbox workflows, delivery promise widgets, branded tracking, notifications, returns and proof-of-delivery validation.

Optimization & launch

Month 6

Added ClickHouse analytics, route-protection agents, performance tuning, automated tests, monitoring, security hardening and production rollout.

Main Functionality

Continuous route optimization

We integrated Google OR-Tools to generate and continuously recalculate multi-stop routes as orders, traffic, cancellations, capacity, and delivery constraints changed.

Scenario simulation and AI dispatch

We built a scenario simulator and configurable dispatch engine that compares territories, fleet mixes, providers, EV usage, utilization, cost, reliability, speed, service level, and margin before assignments are activated.

Real-time operations and route protection

We developed a Mapbox GL JS and WebSocket operations console with route timelines, capacity views, exception queues, decision explanations, and agents that detect ETA slippage, dwell time, traffic disruption, signal loss, and address inconsistencies.

Customer experience and proof of delivery

We delivered capacity-aware time slots, dynamic delivery fees, branded tracking, SMS and email notifications, returns, refunds, feedback journeys, and AWS Rekognition validation for proof-of-delivery photos.

Fleet, driver app and logistics analytics

We created the React Native driver app with navigation, smart loading, scanning, signatures, photo capture, geofencing, offline updates, and pay calculations, backed by Kafka, DynamoDB, Redis, AWS, and ClickHouse analytics.

Contact Us

Please contact us for any further information