A route-to-market operation is the perfect habitat for automation done honestly: thousands of repeating decisions, most of them computable, a few of them judgement. The doctrine — deterministic signals, AI delivery, human approval — assigns each kind to the right worker: engines for the computable, agents for the delivery, humans for the judgement.
The route's night shift
- Visit plans generate themselves — route schedules produce every rep's day over a rolling window, sequenced over real road distances, offline-ready by morning.
- Suggested orders per outlet — from the outlet's own offtake, cover and pipeline, with the arithmetic on the line (including the honest "don't buy" when cover is long).
- Shelf photos become measurements — Sense Vision scores share-of-shelf and planogram compliance consistently, with the photo as evidence.
- Nudges publish overnight — the dormant outlet, the scheme gap, the overdue receivable, the quote nobody chased — hourly sweeps and a nightly agent run put them in the right queue with evidence attached.
Ask the route anything
Sense runs as the person asking — a rep sees their beats, an RSM their region: "which outlets over sixty days outstanding had a visit this week and still didn't pay?", "which schemes moved volume versus margin?" It drafts the follow-ups, the transfer proposals, the win-back beats — and every write waits for approval. Each morning opens with a daily brief: the user's own numbers, computed deterministically, phrased plainly.
Autonomy with a receipt
Scheduled agent workflows watch the route and publish suggestions autonomously — that is the honest extent of autonomy: the queue fills overnight; acting on it is a click. Budgets enforce before model calls, tools are bounded, every run is audited, and AI Studio lets you build route-specific agents on your own knowledge. The contract: how Sense is governed.
Common questions
What route-to-market work runs unattended?
Visit-plan generation, route sequencing, suggested order quantities, shelf-photo scoring, and scheduled nudge sweeps over dormancy, receivables, schemes and follow-ups — deterministic engines whose output lands in human queues.
What makes the suggested order trustworthy?
Its inputs sit on the line — offtake, cover, pipeline — so a rep or buyer can verify the arithmetic. And it says "don't buy" when cover is long, which is what earns it credibility.
Can Sense act on an outlet without approval?
No — it reads under the user's permissions and drafts actions; writes are approval-gated. A scheduled agent can put suggestions in the queue overnight; committing any of them is human.
How does shelf vision fit the agent story?
It converts the rep's shelf photo into measured share-of-shelf and planogram compliance — consistent scoring at scale — feeding the same nudge and analytics machinery as every other signal.