Automate and optimize drone delivery routing
Every drone operator has systems that take orders, track battery charge, and clear airspace. Almost none has anything that decides which aircraft should fly which order, in what order, and where it should top up in between. Let's solve that.
One solve plans every order, every aircraft, and every recharge stop
Timefold solves order assignment, sortie sequencing, recharge stops, and pilot supervision as one optimization problem. Battery reserves, single-leg range, no-fly zones, weather, flight hours, payload, handling capabilities, pad slots, swap packs, pilot ratios, and binding deadlines are enforced as hard constraints, so every plan can actually be flown. Within those rules, the model delivers as many orders as possible, on time, with the least waiting and wear.
Where Timefold goes beyond greedy dispatch
Four things decide whether a delivery day works. Timefold bakes them into the model.
Recharging is part of the route
Aircraft top up only as much as the next sortie needs, at the compatible pad with the shortest detour, and pad slots are never overbooked.
Pilots are a shared, capped resource
Overlapping flights stay within each pilot pool's ratio cap, shift, and aircraft ratings.
Safety rules are never traded
Battery reserve, range, airspace, and weather limits are hard constraints that no delivery target can override.
Neighbors feel fewer flights
Legal overflight caps hold every hour, so flights over capped neighborhoods stay within the limit residents agreed to.
Utilization decides the unit economics of every delivery
Drone delivery runs on aircraft, batteries, pads, and remote pilots that all cost money whether they fly or not. Greedy dispatch leaves too much of that capacity waiting, and the cost shows up in every delivery.
Deliveries per drone per day for low-cost delivery
Cost models only reach low cost per delivery at this utilization, and every idle hour works against it.
Typical cost per delivery
Pilot time and idle aircraft drive most of it, and better use of both brings it down.
Every battery cycle costs pack life
Every unneeded full charge and deep discharge brings the next replacement sooner.
Overflights per day over certain areas
The kind of concentration that turns communities against a program.
Constraints the model expresses today
When scheduling works, everything works.
Less waste. More control. Teams that trust the plan.