Allodial PredictAllodial Predict

Platform

The accounts you are about to lose, on one list, every morning.

Allodial Predict reads your order history, learns how often each account normally orders, and each day names the ones that broke their own pattern — while there is still enough runway to pick up the phone.

Capabilities

Everything it takes to catch an account before it is gone.

Each account's own baseline

Every account gets a baseline built from its own order dates — how many days normally pass between its purchases. Orders placed within three days of each other cluster as one purchase, so a split shipment does not read as two. Below four clustered orders nothing is claimed at all; the account is simply marked new.

  • Baseline learned per account, never an industry average
  • Orders within three days cluster into one purchase
  • Four clustered orders minimum before any baseline is claimed
  • Account states: new, healthy, watch, slipping, gone quiet

Drift

Apex Supply Co

Every 21d · last order 58d ago

gone quiet

Metro Janitorial

Every 14d · last order 22d ago

slipping

Eastside Facilities

Every 45d · last order 39d ago

watch

One Opportunity List

The accounts that broke their pattern land on a single list, capped so it stays workable — fifteen by default, thirty at the absolute most. One row per account, even when several signals fire on it. Every row carries the sentence that explains the flag and a concrete action, not a suggestion to follow up.

  • Four types: Recover, Retain, Reorder, Expand
  • One row per account — extra signals raise priority, not row count
  • Priority is named: high, medium, low
  • Capped at fifteen by default, thirty hard maximum

Opportunity List

Apex Supply Co

Usually orders every 21 days — no order in 58.

Recover

Northgate Paper Co

Expected to order in 2 days, based on 31 prior orders.

Reorder
15 accounts on today's list · 6 high priority

Named levels, never a number

Drift is reported as watch, slipping, or gone quiet — three levels, each a literal claim about the gap since the last order. There is no composite figure to argue about and nothing is rated out of a hundred, so a rep can read a row and immediately know what it asserts.

  • Watch — the rhythm is stretching, not yet overdue
  • Slipping — genuinely past the account's own expected order date
  • Gone quiet — well beyond anything this account has done before
  • The same three levels in-app and in each person's daily digest

Drift Levels

Gone quiet

Apex Supply Co — 58 days out, baseline 21

Slipping

Metro Janitorial — 22 days out, baseline 14

Watch

Eastside Facilities — 39 days out, baseline 45

Your whole book in one view

Every account you sell to, with the state it is in right now and what it is worth to you. Open any one of them for the baseline it was measured against, the gap that broke it, the orders behind both, and the date this flag would have fired on your own history.

  • Every account carries a state: new, healthy, watch, slipping, gone quiet
  • Per-rep books, plus a coverage view for managers
  • An evidence panel behind every flag, all of it deterministic
  • Unlimited seats at every tier

Accounts

Apex Supply Co

Orders every 21d

Gone quiet

Metro Janitorial

Orders every 14d

Slipping

Northgate Paper Co

Orders every 30d

Healthy

Outcomes and coverage

A rep logs what happened after working an account and it leaves today's list. When that account orders again, the save is attributed to the call that came before it — so the work is measured against real returning revenue rather than asserted.

  • Logging the outcome is the only thing anyone is asked to type
  • Saves attributed when a logged call precedes a resumed order
  • Coverage shows what is unworked, never a ranking of people
  • Today's list broken out by type

Today's List By Type

Recover
6
Retain
4
Reorder
3
Expand
2

Replay, before you talk to anyone

Export your order history, drop the file in, and the same rules run over your past: which accounts drifted, the date each one would have been flagged, and how many days of warning that would have bought you. It runs in your browser, the file is never uploaded, and it needs no account.

  • The same rules as the live product, over your own history
  • Flag date, stop date, and days of warning for every account
  • Runs in your browser — the file never leaves your machine
  • Free, no login, no limit

Sample Replay Result

Accounts in file

214

With a rhythm

168

Drifted

23

Average warning

34d

23 accounts drifted — an average of 34 days of warning, unused.

Data Philosophy

Your data stays in your account. Always.

Detection is fully deterministic. The level, the priority, the sentence explaining a flag and the recommended action are all arithmetic on your own order dates and amounts, computed inside your account's database — the same data twice gives the same list twice, and no model participates. Allobot, our in-app assistant, and the CSV column matcher do send operational context to OpenAI under its API terms, never to train models and never to decide anything about an account.

Deterministic detection

Levels, priority and reasons are arithmetic on your order history, run inside your account's database. Same data in, same list out.

Data isolation

Row-level security enforces complete tenant isolation across all data.

You own your data

Your order history is yours. We don't use it for any purpose beyond your account, and never to train a model.

Alpha Stage

The platform is live and actively being used.

Allodial Predict is in alpha — meaning the core platform is fully functional and actively running in real distribution operations, while we keep expanding capabilities alongside our partners.

Signing up is self-serve: create an account and you have full access and a 60-day trial immediately. Hands-on setup with our team is offered, not required, and alpha partners get direct influence over product direction.

Ready to run it on your book?

Load one order export and the first list is ready the same day.

60-day free trial. No credit card required.