18 packs · 0 KPIs you defineTalk to us
[VALUE PACKS] PRE-CONFIGURED KNOWLEDGE 18 PACKS · 5 INDUSTRIES

The domain expertise, already loaded.

A Value Pack is pre-configured knowledge for your industry — the use cases, the datasets, the KPIs and the rules that decide what a number means, written once and shipped ready.

A blank system you configure from scratch.  Closer to a domain expert who already knows your business on their first day.

0packs shipping
0industries
0KPIs you define
[02] WHAT A PACK DOESRETAIL · PACK 1 OF 18

Pick one. Everything below follows it.

All eighteen are wired — the KPIs, the dimensions, the rules and the worked example are each pack’s own.

PICK YOUR INDUSTRY —
[ PACK ] IN-STOCK %, STOCKOUT RATE & SELL-THROUGH

Inventory & Availability Guardian

Catches stockouts before they lose the sale — and overstock before it forces a markdown.

What it watches

watches In-Stock % · Stockout Rate · Sell-Through · Weeks-of-Supply · Overstock %
cut by SKU × store × region × channel × DC

A case it caught

In-stock % on a fast-moving grocery cluster falling to ~88% across a Northeast region while the DC sat full.

And what that ruled out

A replenishment / allocation miss, not a supply shortage — DC weeks-of-supply held; the gap is store-level routing, fixable now.

Caught in days · lost sales recovered before the weekend peak

The definitions it ships
  • in-stock % = in-stock facings ÷ planogram
  • weeks-of-supply = on-hand ÷ run-rate
  • DC full while stores stock out = an allocation miss, not supply.
What it reads, in place
Inventory & stockPOS & sales transactionsSupply & procurementE-commerce & digital
availability held, write-downs avoided
[02] HOW IT WORKS THE ONE GATE IS HUMAN

Connect the data. Confirm the KPIs. Done.

01

Connect your data

A warehouse, a database, even a spreadsheet — and a sentence describing the business problem.

You
02

It works out what it needs

Which artifacts and which transformations the use case requires, from the pack’s own domain knowledge.

DataGenie
03

You confirm the KPIs

A human-in-the-loop review of the metrics and definitions before anything is trusted. The one gate.

You
04

It self-onboards

Then it learns the patterns — your seasonality, your normal — and starts scoring against them.

DataGenie

Two of the four steps are yours, and neither is a configuration screen. Nobody enumerates metric × dimension combinations, writes a threshold, or defines a KPI — the pack brought those, and the briefs start arriving once step four finishes.

[03] THE POINT

The insights must find you.

Thirty minutes, your data, a real brief at the end of it.

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