Drivers know things no map does — which bell works, where the van fits, when the gate is locked. ParcelVox captures that knowledge by voice, AI turns it into a structured, location-tagged tip, a dispatcher gives the final approval, and it plays back to the next driver at exactly the right stop.
Parcel logistics is highly automated — until the driver leaves the depot. From there, delivery depends on what the driver knows: where to park, which entrance works, how to reach the right door. That knowledge is captured nowhere, so the carrier pays for it three times over.
The friction drivers handle every day — invisible to the planning system
A new driver needs four to six weeks to reach full speed, and many don’t last that long. The knowledge leaves with them; the next hire starts from zero.
Every driver rediscovers the entrances, parking spots and doors the last one already found — repeated across thousands of stops.
Dispatch sees that a stop ran late or failed, but never why. So tomorrow’s plan repeats today’s mistakes and the ETAs stay wrong.
When a driver hands in their keys, years of route knowledge walk out the door.
Drivers talk to a voice assistant — hands-free, while they work. No typing, no forms. It can also notice when something looks off, like an unusually long stop, and simply ask what happened.
AI turns the voice note into a structured, location-tagged tip and matches it to the stop record. A dispatcher gives the final approval in one tap — human in the loop, minimal manual work.
On the next run, the tip plays at the right stop, at the right moment. New drivers start with the knowledge of everyone who drove the route before them — and each shift sharpens what the assistant asks next.
Approved tips do a second job: they feed back into route planning as structured, geo-referenced records — helping improve ETAs, stop order, and first-attempt success over time.
ParcelVox is about what drivers know — never about how fast they drive.
Speak it hands-free → AI structures it → a dispatcher approves → the next driver hears it
Nothing here counts stops per hour or ranks drivers against each other. This is not a performance tool.
Tips describe stops and buildings — a broken bell, a safe parking spot — not the driver.
New and temporary drivers inherit the route from day one, instead of spending four to six weeks learning it the hard way.
A broken bell or blocked access gets captured once — so the next driver doesn’t hit the same wall, and neither does the one after that.
AI structures every tip and matches it to the stop record; a dispatcher gives the final approval. Trustworthy data, almost no manual work.
Dispatch finally sees why a stop ran late or failed, not just that it did. Structured records feed route plans and ETA accuracy.
Delivered as an SDK in the driver app your drivers already use — no second app to roll out. Sold per depot.
Approved tips accumulate into a corpus a competitor can’t buy. It only grows by running real deliveries.
From the hub to the door — and the knowledge flows back into planning
Two founders, backed by Beam.
Supply-chain and logistics background from Sony and Tetra Pak in Sweden. Later founded his own AI company before joining Beam to build ParcelVox.
Founded a travel-tech startup built on a novel routing algorithm. Brings GIS algorithms and device sensor signal interpretation — GPS, motion patterns — to the ParcelVox platform.
We’d rather show you than tell you. Tell us a little about your operation and we’ll set up a walkthrough — how tips get captured, checked and passed on, and what integration in your own driver app would look like.