Customer Reorder Cycles for Foodservice Disposables
A foodservice disposables account's reorder cycle is simply the typical number of days between its orders, measured from your own records. A diner might sit at seven days and a catering hall at nineteen. Knowing each account's number is what lets a rep tell a normal week from a broken pattern.
What a reorder cycle actually is
In foodservice disposables the phrase gets used loosely, so it is worth pinning down. A reorder cycle is not a forecast of when a kitchen will be empty, and no supplier can see that. It is a measurement of behaviour: over the last year, this account has placed orders roughly every nine days.
That definition matters because it is checkable. Anyone can look at the invoices and confirm it. It also means the number is different for every account and belongs to that account rather than to the category, which is exactly why a route-wide call schedule keeps missing.
How the cycle is read from order history
Take one account, list its order dates, and measure the days between them. Two complications show up immediately in this vertical. First, kitchens frequently place a second small order a day or two after the main one, and counting those separately would make the cycle look far faster than it is. So orders placed within three days of each other are treated as a single order.
Second, a couple of orders is not a pattern. Four clustered orders is the minimum before a cycle is worth claiming, which on a weekly restaurant is about a month of history and on a caterer might be a season. Below that, the honest answer is that this account does not have a readable cycle yet.
What the cycle tells a rep
Once the number exists, the daily question is trivial: how many days since this account's last order, compared with its usual number? Lakeside Facility Supply serves a taqueria that has ordered every seven days for a year. On day eight nothing has happened yet. On day eleven, something has.
The same measurement catches the opposite move. A catering hall whose orders compressed from nineteen days to eleven across two cycles has picked up work, and that is a conversation worth having while the season is still in front of you rather than behind.
How Allodial Predict reads foodservice cycles
Allodial Predict computes each account's cycle from the order history a distributor already keeps, applies the three-day clustering rule, and holds off on claiming a baseline until an account has four clustered orders behind it. Nothing about the customer's kitchen is estimated, because nothing about the customer's kitchen is visible.
Every day it compares the current gap against each account's own number and puts the accounts that have broken their pattern on a single Opportunity List. The list is capped so it stays workable, each account appears once, and the drift is described in words rather than a score: watch, then slipping, then gone quiet. Each row carries a plain reason a rep can read out loud, because it is only ever a statement about the order record.
See which accounts are due before the phone rings.
Allodial Predict reads your order history and surfaces the accounts that need a call today.