We build fleet management systems, warehouse management platforms, last-mile delivery infrastructure, and AI-powered route optimization tools that reduce operational costs, increase delivery velocity, and give logistics teams complete visibility across their supply chain.
Logistics operations live and die on real-time data, operational efficiency, and the ability to respond to disruptions instantly.
Without real-time GPS tracking, live driver status, and automated ETAs, logistics operations rely on manual check-ins that introduce delays, errors, and customer dissatisfaction. Modern logistics demands sub-minute location data with predictive arrival estimates.
Manual route planning is inefficient and expensive. Optimizing routes across hundreds of deliveries, accounting for traffic, time windows, vehicle capacity, and driver hours requires ML-based algorithms that continuously recalculate as conditions change throughout the day.
Warehouse operations involve inbound receiving, putaway, picking, packing, and outbound shipping, each of which must be optimized for speed and accuracy. Manual or paper-based WMS systems lead to picking errors, inventory shrinkage, and inability to scale during peak periods.
Supply chains involve dozens of suppliers, 3PLs, freight forwarders, and customs brokers, each with their own systems and data formats. Building technology that connects these parties and provides a unified supply chain view is a significant integration engineering challenge.
Over-stocking ties up capital; under-stocking causes stockouts and lost sales. Accurate demand forecasting that accounts for seasonality, promotions, and market trends requires ML models trained on multi-year historical data with continuous retraining as patterns evolve.
Last-mile delivery accounts for 40 to 53% of total logistics costs. Failed deliveries (NDR) are particularly costly. Technology that enables dynamic delivery slot selection, real-time customer communication, and automated reattempt workflows significantly reduces cost per delivery.
End-to-end logistics technology designed to reduce cost, improve visibility, and accelerate delivery velocity.
Real-time vehicle tracking, driver behavior monitoring, trip management, fuel consumption analytics, maintenance scheduling, and compliance tracking. Integrates with GPS hardware, driver apps, and dispatch systems to give operations teams complete fleet visibility from a single dashboard.
End-to-end warehouse management covering inbound receiving, putaway logic, pick-and-pack workflows, inventory cycle counting, returns processing, and outbound shipping management. Supports barcode scanning, RFID, and mobile device workflows for picker-guided operations in large fulfillment centers.
ML-based route planning that solves the Vehicle Routing Problem (VRP) with time windows, capacity constraints, and real-time traffic data. Our route optimization algorithms have reduced average delivery times by 20-35% and fuel costs by 15-25% for logistics clients.
End-to-end supply chain tracking from supplier shipment to last-mile delivery, with real-time exception alerts, automated ETAs, supplier performance dashboards, and customer-facing tracking portals. Integrates with ERP systems, carrier APIs, and IoT sensors for unified visibility.
Customer delivery slot booking, driver assignment algorithms, real-time delivery tracking for end customers, automated notification workflows, NDR management, and proof-of-delivery capture. Designed for hyperlocal logistics, D2C fulfillment, and on-demand delivery operations.
ML demand forecasting models that predict SKU-level inventory requirements across multiple locations, safety stock optimization algorithms, supplier lead time analysis, and inventory health dashboards that reduce both stockouts and excess inventory carrying costs.
Fleet management systems, WMS platforms, and route optimization engines built for real-world operational complexity and scale.
Challenge: A pan-India logistics company with 500+ vehicles had zero real-time fleet visibility, relied on manual driver check-ins, and had no data on fuel consumption or route efficiency, resulting in significant operational waste.
What We Built: GPS telematics integration with hardware via MQTT, real-time vehicle tracking dashboard, ML-powered route optimization using Google OR-Tools, driver behavior scoring (harsh braking, speeding), fuel analytics, and automated trip billing integrated with Tally ERP.
Challenge: A third-party logistics provider operating a 200,000 sq. ft. fulfillment center was running on spreadsheets and tribal knowledge, resulting in 2.3% picking error rates, inventory discrepancies, and an inability to add new e-commerce clients without hiring proportionally.
What We Built: Cloud-native WMS with zone-based putaway logic, barcode-guided picker workflows on mobile devices, cycle count scheduling, returns processing, real-time client inventory portals, and direct API integration with Shopify, Amazon, and Flipkart FBF.
Real-time data processing, IoT integration, and AI optimization for modern logistics operations.
Tell us about your logistics challenges and we will design a technology solution that reduces costs and improves operational visibility.