ON-DEMAND DELIVERY
Instant dispatch, real-time tracking, and dynamic fleet management for same-day and express deliveries — profitably, at any volume.
The Problem
Meeting aggressive delivery SLAs while maintaining positive unit economics is a constant tension that manual dispatch can't optimise.
Riders idle between orders because static fleet deployment can't match dynamic demand patterns throughout the day.
What works at 100 orders per hour fails at 1,000. Manual processes and basic dispatch algorithms can't handle volume spikes.
From scaling with brute force → to scaling with intelligence.
The Solution
Shipsy's platform optimises the economics of on-demand delivery — matching speed to profitability at any scale.
Order-to-rider matching in under 5 seconds based on proximity, capacity, route compatibility, and delivery SLA.
Real-time demand prediction and fleet repositioning. Rider allocation adjusts continuously as demand patterns shift.
AI batches compatible orders from nearby pickup points into consolidated trips — improving unit economics without sacrificing speed.
POWERED BY AGENTFLEET
Astra handles instant dispatch and rider navigation. Atlas monitors demand patterns and rebalances fleet coverage. Clara is a voice-first agent that manages customer tracking and communications via WhatsApp and voice calls.
Learn about AgentFleet →Proven Results




































FAQ
Shipsy's AI dispatch matches orders to riders in under 5 seconds, evaluating proximity, current route, capacity, and SLA requirements simultaneously.
Yes. ML models predict demand surges and pre-position riders accordingly. The system scales seamlessly from 100 to 10,000+ orders per hour.
AI identifies compatible orders from nearby pickup points and batches them into single rider trips, improving economics while maintaining delivery speed commitments.
Yes. Bikes, scooters, cars, and vans can all be managed on the platform with vehicle-type-appropriate dispatch and routing logic.
Live demo configured to your delivery zones and SLA requirements.