RETAIL
Physical replenishment, e-commerce delivery, click-and-collect, and returns, unified on one AI-native platform that plans, executes, tracks, and settles.
The Problem
Fixed routes designed around yesterday's demand. When promotions surge or new stores open, static planning bleeds cost, and the P&L takes the hit before anyone notices.
Different systems for replenishment, online delivery, and returns. No shared view, no unified control, no way to optimise across channels.
No ePOD, no real-time tracking, no automated invoice reconciliation. Every missed proof of delivery becomes a disputed invoice weeks later.
From fragmented channels → to unified omni-channel execution.
The Solution
Shipsy replaces legacy SAP TMS and fragmented systems with one platform covering replenishment, e-commerce delivery, returns, and settlement.
200+ constraint optimiser selects vehicle mix, plans routes, and allocates to owned or outsourced fleet, reducing transport cost by 12% and increasing deliveries per vehicle by 24%.
Real-time trip management, store-level delivery workflows, ePOD capture with signature, image, and timestamp, synced with invoice records automatically.
Different 3PLs for first, middle, and last mile, orchestrated from one platform. Auto-allocation based on cost, SLA, and capacity.
POWERED BY AGENTFLEET
Astra guides drivers and improves productivity by 20%. Clara is a voice-first agent that reduces inbound support volume by 30%, handling store delivery queries via WhatsApp and voice calls. Nexa automates freight settlement, cutting workload by 50%. Atlas runs the autonomous control tower.
Learn about AgentFleet →Proven Results
FAQ
Yes. Shipsy has replaced SAP TMS for Fortune 100 retailers, providing a single platform for managing the end-to-end shipment lifecycle across 25+ business verticals with over 1M shipments per day.
AI evaluates inventory, proximity, delivery SLA, and cost to select the optimal fulfilment point (store, warehouse, or dark store) and allocates to the best carrier automatically.
Yes. Shipsy orchestrates owned fleet, dedicated fleet, and outsourced 3PL deliveries on one platform, with auto-allocation based on cost, capacity, and SLA performance.
The AI optimiser considers 200+ constraints to plan replenishment routes, select vehicle mix, and schedule store delivery windows. Drivers execute via the mobile app with ePOD capture at every stop.
A Fortune 100 retailer saw 31% vehicle utilisation increase, 24% more deliveries per vehicle, and 12% transport cost reduction. A Middle East fashion retailer saved 12% in transport costs with 31% own-fleet utilisation improvement.
Live demo configured to your replenishment, e-commerce, and returns workflows.