SaaS ideas your next customers are already looking for
100 SaaS startup ideas for the people who said they'd pay, from agency owners to dentists. Micro SaaS ideas, AI SaaS ideas and B2B SaaS ideas: find yours, build it, sign them up.
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Last-mile delivery pain points
Search 15 problems in Last-mile delivery that people described on Reddit and other platforms.
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What people report in Last-mile delivery
The door, the route and the pay screen are where delivery work goes wrong. Ignored Delivery Instructions drew 766 people, the most of the pain points listed, split between Delivery drivers and customers; 389 count it as costly and 70% weekly. A PIN does not ensure the driver reaches the right door, there is no built-in proof of delivery or parking guidance so drivers collect evidence themselves, and house numbers are hard to read from the street.
Overloaded Delivery Routes (Delivery drivers and couriers, 592 people, 335 counting a cost, 98% weekly) hands out unrealistic, badly ordered runs that cannot be finished within a shift, leaving missed breaks and extra miles; the algorithm hands more work to drivers who finish early. Illogical Stop Sequencing (Delivery drivers, 538 people, 93% weekly) bounces drivers between cities and sends several to the same complex, and the AI issues hundreds of moves that drivers have no time to override. Rushed Freight Unloading ties at 98% weekly, with 472 people and 0 payers.
Unclear Pay and Mileage Costs (Gig delivery and rideshare drivers, 389 people, 321 counting a cost, 88% weekly) draws the biggest payer count listed, 14 (already paying or willing to): the app does not show mileage or destination ahead of acceptance, there is no paid wait timer and no switch to decline changes made after accepting. Delivery App Driver Glitches (Gig delivery drivers, 503 people, 326 counting a cost) leaves drivers without gate codes, unable to reach customers and unable to judge how reliable a restaurant is at pickup before they accept. Unpaid Driver Wait Times has 389 people, 90% weekly and 0 payers.
Penalties are the fairness complaint. Unfair Driver Penalty Disputes (432 people, 325 counting a cost, 48% weekly) shows support rejecting customer information that drivers kept as proof and docking pay instead of helping. Unfair Automated Penalties (Gig and delivery drivers, 384 people, 9 payers) notes that footage exists only when a camera was recording and someone watches it, and managers discourage reporting because a report can get a van benched. Inaccurate Addresses and Pins has 398 people and 83% weekly. The Amazon Flex app, DoorDash app, Spark driver app, Uber driver app and Google Maps are the tools named.
Payment is thin everywhere: nothing listed passes 14 payers. The pay and mileage screen is the best bet on that evidence, with the highest payer count, a large cost figure and 88% weekly.
Map of ideas
Drawing the map…





