A field visit's cost is mostly the getting there — salary, fuel, and the hours between doors. Yet most coverage models allocate that scarce time by geography and habit: every store on the loop, every cycle, same frequency. Routing is a portfolio problem, and it pays like one when treated that way.
Tier by Money, Not by Map
Rank stores by what a visit is worth there: volume, volatility, and fixability. A high-volume door with recurring stockouts is worth a weekly visit; a stable low-volume independent might justify quarterly. Three tiers is enough — weekly, biweekly-to-monthly, and quarterly — with the tier list rebuilt from data every quarter, because stores migrate.
Reserve Slots for Exceptions
A route that's 100% scheduled has no capacity to respond to what the data finds this week: the zero-scan alert, the display that didn't get built, the void that just opened. Hold 20–30% of each week's visit capacity for the exception list, routed by value and proximity. This is the operational difference between field teams that have data and field teams that are pointed by it.
The Frequency Math Nobody Runs
For each tier, estimate what a visit actually recovers — stockouts fixed sooner, compliance decay arrested, orders written — and compare against the loaded cost of the visit. The usual finding isn't "visit less"; it's a reallocation: the top tier is under-visited and the bottom tier's frequency is a tradition. Moving two monthly visits from a C-store to an A-store is free money that shows up in the quarter's numbers.
Make the Route Auditable
Planned versus actual visits, time in store, and the outcome captured per stop — not for surveillance, but because routing improves only if the plan's results are measurable against the alternative. The same scorecard logic as everything else: what gets measured weekly gets better quarterly.
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