Join.To.IT builds last-mile software for operators moving parcels, groceries, pharmacy bags, and same-day drops through dense streets. We connect order intake, rider apps, proof of delivery, and customer tracking so a missed doorbell is a recorded event, not a vanished bag and a support ticket.
Courier operations fail in the last hundred metres. Orders arrive from shops, marketplaces, and your own checkout; bags sit in a hub; riders get a pin and a phone call; photos of doorsteps live in a chat; customers refresh a map that is not actually connected to the rider. Long-haul freight tools do not model this, and passenger ride-sharing products do not either.
We build systems around stop density, time windows, and proof of delivery. Dispatch sees who is still holding which bag. Riders work a stop list they can complete with gloves on. Customers get a status that matches what happened at the door.
Start with rider apps and proof of delivery — the two places city operations lose the order — then extend into routing and exceptions.
Orders from shops, APIs, and your checkout become stop records with SKUs, time windows, and handling rules, not a spreadsheet dump.
A stop-first mobile app for walking, bike, scooter, and van couriers: scan, navigate, deliver, and report without calling the hub.
Sequencing for clustered city stops, access codes, and vehicle limits — not intercity lane planning for trucks.
Signatures, photos, GPS stamps, and recipient notes that close the stop and survive a later claim.
Tracking pages that show hub, out-for-delivery, and at-door status without exposing every rider’s personal details.
Exception workflows for no-access, refused bags, and returns to hub so inventory and billing stay honest.
City delivery spikes around lunch, weather, and retail peaks. AI is useful when it drafts exception handling, reads POD photos, and proposes rider loads while a dispatcher still assigns the wave.
Our Join.To.IT AI development team connects these capabilities to your order feed, rider telemetry, and proof-of-delivery archive.
Propose rider bags from zone, remaining capacity, and recent on-time performance for the dispatcher to confirm.
Flag missing, dark, or off-location photos before the wave closes so claims are not discovered a week later.
Read rider notes and reason codes, then route no-access, refused, and damaged bags to the right hub action.
Draft ETA and missed-drop messages from live stop progress, ready for the hub to send or edit.
Answer operational questions about failed drops, rider utilisation, and zone delays from your own stop data.
Last-mile operators already take orders from retailers, marketplaces, and their own apps. We connect those feeds, mapping and navigation, SMS and push, payment collection where cash-on-delivery still exists, and accounting for delivery fees.
Order, scan, and POD data stay consistent so the hub is not reconciling three systems after every wave.
Transport management products are built around loads and lanes. Courier work is hundreds of short stops, mixed vehicle types, and proof at the door. Packaged last-mile products often freeze the operating model you compete on.
A city wave is sequenced density, access codes, and bag scans — not trailer planning for a lane.
If the app fights gloves, rain, and dead zones, status and POD never make it back to the hub.
Claims, cash-on-delivery, and pharmacy rules all depend on a complete POD, not a green tick.
Each new merchant feed adds fields your packaged tool cannot store without a workaround.
Seat or stop pricing rises exactly when volume, and margin pressure, is highest.
The same Join.To.IT delivery process, applied to order intake, rider apps, urban routing, and proof of delivery.
Walk a hub and a rider shift to map how orders are sorted, scanned, assigned, delivered, and closed, including the chats that currently hold exceptions.
Define stop, bag, rider, and zone data, plus merchant feeds, mapping, and notification integrations.
Design a hub board that stays readable at peak wave and a rider app usable one-handed on a scooter or on foot.
Build order intake and rider tools first, then routing support, tracking, and failed-drop workflows.
Test scan sequences, offline POD capture, time-window routing, and what happens when a merchant feed duplicates an order.
Pilot one zone or wave, train hub and riders, then extend city-wide and tune exception codes and reporting.
We choose technologies based on rider device mix, hub volume, and how much of the shift happens underground or in weak coverage.
Practical answers for courier operators, last-mile ops managers, and product owners planning a custom build.
