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COGS.AI · decision-intelligence engine

Standard cost closes your books. It doesn't run your business.

COGS.AI is a decision-intelligence engine that rebuilds your actual cost of goods sold — at SKU level, from your own SAP data — so your pricing, sourcing, production and margin decisions rest on real economics, not accounting averages.

Run a 2–3 SKU pilotOpen the COGS.AI engine ↗
Red flags

The gap you can't see today

  • Supplier price variance hiding inside PPV journal entries
  • BOM substitutions silently distorting your true cost
  • Overhead allocation flattening your SKU economics
  • Process deviations buried in millions of transactions
  • Averaged cost feeding weak pricing and margin decisions
Standard → Actual → Opportunity → Margin

What the engine does

Baseline

Standard COGS

Your current accounting view. The baseline.

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Rebuild

Actual COGS engine

Your material, labour and overhead rebuilt from goods receipts, goods issues, BOM and consumption data (SAP core tables: MSEG, EKPO, MBEWH, RESB, BOM detail) through a FIFO consumption model.

↓
Variance

Cost opportunity

Actual minus standard, per SKU, with the variance drivers named.

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Outcome

Margin impact

Your gross profit and gross margin on true SKU cost.

Proven result

What it found for a global consumer goods company (F'23)

These figures already live on cogs.digiplanet.ai.

SKU set A — high volume
£6.46m
1,922,896cases
56%variance vs standard
£6.46mopportunity
SKU set B — high value, low volume
£523k
284,652cases
28%variance
£523kopportunity

Drivers surfaced

Supplier pricing variance · BOM setup and consumption variance · uncontrolled material substitutions · process steps missing from standard cost · overhead calculation inconsistencies

Actionable

Decisions it puts on your desk

Which SKUs create, dilute or consume your marginWhere your pricing needs correctionWhich suppliers are moving your economicsWhere BOM or process discipline needs attentionWhich SKUs need cost action before commercial action
Demo → Diligence → Deploy → Run

How you engage

01

Demo

See the engine and output shape on reference data.

02

Diligence

A pilot on 2–3 of your own SKUs quantifies your actual COGS and variance drivers before you commit to anything wider.

03

Deploy

The model built across your selected SKU set.

04

Run

A live SKU cost engine on your recurring data feeds.

FAQ

COGS.AI FAQ

An actual-cost intelligence engine that converts standard cost into SKU-level actual COGS using your ERP and operational data — built on SAP core tables with a FIFO consumption model, and proven to surface seven-figure cost opportunity.
Manufacturing, FMCG, chemicals, industrial and distribution businesses — anywhere pricing, sourcing, production and margin decisions depend on knowing what a SKU really costs.
No. The 2–3 SKU pilot is designed to prove value on your own data first. You see your variance, your drivers and your opportunity before any wider rollout.

See your actual SKU cost on your own data.

A 2–3 SKU pilot proves value before any wider rollout.

Run a 2–3 SKU pilotOpen the COGS.AI engine ↗