Customer Reorder Tracking for Jan-San Distributors
Jan-san accounts order liners, towels, tissue, soap, and cleaning chemicals on intervals that hold for years. Customer reorder tracking reads each facility's order dates, works out how many days normally pass between its orders, and flags the accounts whose current gap has run past that number.
The jan-san ordering rhythm
Few categories are as regular as janitorial and sanitation supply. A facility that orders can liners and roll towels every twelve days has usually been doing it for years, because the routine behind it, a cleaning schedule and a purchasing habit, rarely changes on its own.
That regularity is the reason reorder tracking works here. When an interval holds that steadily, a break in it is real information rather than noise, and it shows up in the distributor's own records the moment somebody looks.
What reorder tracking actually measures
It is worth being precise, because this phrase gets used loosely. Reorder tracking does not look inside a facility. It cannot count what is in a supply closet, how fast a custodial crew works through a case, or which shelf is thin this week. None of that reaches a distributor.
What it measures is the ordering relationship. Take one account's order dates, count the days between them, and you have that facility's normal interval. Compare that number against the days since its last order and you get a single true statement: this hospital orders every twelve days and today is day twenty-one.
Where a jan-san account slips
Keystone Facility Solutions supplies a hospital that had ordered center-pull towels every two weeks for three years. During a busy inspection week the order does not arrive. Day eighteen passes. On day twenty-six a maintenance lead mentions, in passing, that they picked up a case locally and it was easy.
Nothing about that read as a complaint, and nothing about it was visible in a revenue report yet. It was visible in the order dates from day fifteen onward, which is exactly when a two-minute call would have settled it.
How Allodial Predict fits jan-san
Allodial Predict derives each facility's normal interval from the order history a jan-san distributor already keeps. Orders placed within three days of each other count as one, so a chemical order chasing a paper order in the same week does not fake a faster rhythm, and no interval is claimed for an account until it has four clustered orders behind it.
Every day it compares each account's current gap against its own baseline and puts the facilities that have broken their pattern on a single capped Opportunity List, one row per account, ranked. The drift is described in words rather than a number: watch when the gap has just passed the usual interval, slipping when it has run well past, gone quiet when the account has stopped behaving like a customer.
All of it is deterministic arithmetic on dates that were already in the system, which is why every row can be checked against the account's order screen and why the reason on each row is a sentence a rep can say out loud without overstating what the distributor knows.
See which accounts are due before the phone rings.
Allodial Predict reads your order history and surfaces the accounts that need a call today.