How Do I Find Accounts That Are Buying Less Than They Used To?
To find accounts buying less than they used to, compare each account's recent reorder pace against its own historical pattern, not against the whole book. A wholesale account that has stretched its reorder interval or trimmed its order size is fading quietly. That trend lives in order history, well before it shows up in a year-over-year report.
What's actually happening
Accounts rarely quit in one move. They taper. An account that used to order a full pallet every month starts ordering three-quarters of a pallet, then stretches the interval to six weeks, then seven. No single order looks alarming. Stacked over a quarter, the account has cut its volume in half and is most of the way out the door.
The taper usually means the account moved part of its buying elsewhere, or its own demand fell. Either way, the relationship is loosening. The reason this is so easy to miss is that a shrinking account still orders, so it never triggers the alarms reserved for accounts that stop entirely.
What you are looking for is not total volume, it is the change against each account's own baseline. A small account holding steady is healthier than a large account quietly sliding. The slide is the signal, and it is in the order history before it reaches any annual comparison.
What most distributors do
Most distributors look at top-line revenue and the biggest accounts. A fading mid-tier account gets averaged into a number that still looks fine, so the decline hides inside the aggregate. Nobody is comparing each account to its own past pace, because doing that by hand across hundreds of accounts is not realistic.
Some teams pull a sales-history export from Epicor P21 or Eclipse and sort by total spend. That surfaces the big names but not the trend. A report of what was bought is not a read on which accounts are decelerating, so the slow faders stay buried until a year-over-year review finally catches them, long after the easy save window passed.
A better approach
Compare each account against itself. For every recurring account, establish its normal order size and reorder interval, then watch for drift: longer gaps, smaller orders, fewer line items than the account historically carried. An account trending below its own pace is the one to call, even if its absolute numbers still look acceptable.
Rank those fading accounts by revenue at stake so the rep starts with the declines that cost the most. The point is to catch the taper at the second or third smaller order, not at the year-end summary when the account is already half gone.
How Allodial Predict addresses this
Allodial Predict learns each account's normal reorder size and interval from your existing order history, then flags accounts trending below their own pace. Those accounts surface on a ranked daily call list with a plain reason, so a rep sees a fading account while the slide is still shallow. No exports to sort by hand, no waiting for a year-over-year report to expose the decline.
See which accounts are due before the phone rings.
Allodial Predict reads your order history and surfaces the accounts that need a call today.