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arXiv cs.AI
6/10

StopSprint

An AI route planner for small last-mile delivery and field-service businesses — paste in today's jobs, get back a realistic, time-window-aware route a dispatcher can hand to a driver.

Target user

Owner-operators of local courier, florist, and appliance-repair fleets running 10-60 stops a day

Features
  • Bulk import from spreadsheets, texts, or WhatsApp threads — no integration project
  • Time-window and vehicle-capacity constraints baked into each plan
  • What-if simulator: shows cost of adding one more stop vs. dispatching a second run
  • Driver-friendly turn-by-turn output with photo proof-of-delivery capture
Why now

Modern neural solvers scaled by self-supervised pretraining now beat hand-tuned heuristics on real-world routing instances, making enterprise-grade optimization affordable for one-truck operators.

Signals · overall 6/10
Demand
6/10

Routing is a perennial pain point; arXiv interest signals a new wave of accessible solversLast Mile Delivery Software for Dispatch and Route Management

Whitespace
4/10

MapQuest/Google Routes serve consumers; OptimoRoute/Routific dominate SMB but charge per stopLast Mile Delivery Software for Dispatch and Route Management

Monetization
7/10

SMB dispatchers happily pay $30-100/month to save an hour a dayLast Mile Delivery Software for Dispatch and Route Management

Longevity
8/10

Local delivery and field service grow with e-commerce for decades

Feasibility
5/10

Solver research is mature; main work is product UX and map-data licensing

On the Effectiveness of Pretraining for Graph Combinatorial OptimizationarXiv cs.AI · 2026-07-22 (2d ago)