Factori/Services/Inventory & replenishment
Service 02 · Policies set by optimization, not habit

Safety stock set by optimization, not by rule of thumb inherited from the last planner.

Reorder points, order quantities and safety stock for every SKU-location, derived from the forecast uncertainty and your service targets. Reviewed continuously, not once a year in a workshop.

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Where it hurts

The problem we usually find

Inherited rules

Two weeks of cover on everything, because that is what the previous planner did. Fast movers run out, slow movers pile up.

Working capital nobody can explain

Finance asks why stock went up. Nobody can point to the policy that caused it, because there is no policy, only history.

The long tail by hand

Thousands of intermittent-demand items reviewed manually or not at all. Each one is small. Together they are most of the warehouse.

What we build

What lands in your operation

01

Policy per SKU-location

Reorder point and quantity derived from the forecast band, lead time variability and the service level you choose for that item class.

02

Service targets as a dial

See the trade-off between fill rate and stock value before you commit. Move the target and watch the capital move with it.

03

Intermittent demand handled

Slow and lumpy items get models built for them, not a smoothed average that is wrong in both directions.

04

Exceptions, not lists

Planners see the items where the recommendation changed materially or the model is unsure. The rest replenish on policy.

Method

Diagnose. Build. Hand over.

01

Diagnose

We measure current stock against a policy-based baseline and show where capital is parked without buying service. That gap is the business case.

02

Build

Policies computed and back-tested against your history, then run in shadow next to the current process until the numbers agree with reality.

03

Hand over

Policies refresh on their own as forecasts update. Your team owns the service-level dials and gets a board that shows stock, fill rate and touches per week.

What it has looked like

Numbers from the floor

−32%

Working capital in stock at a distributor, fill rate held

41k → 4%

Long-tail SKUs under one policy; share of catalogue touched by hand each week

Continuous

Policy refresh, replacing the annual parameter review

Results from past engagements; clients undisclosed. Your numbers come out of the diagnostic.

Questions

Asked before every engagement

Do we need a new planning system?

Usually not. Policies are written back to the ERP or planning tool you already run. Replacing the system is a separate decision and rarely the constraint.

How do you handle supplier minimums and pack sizes?

They are constraints in the optimization, not afterthoughts. Order quantities respect MOQs, pack multiples, and any supplier calendar you give us.

What about promotions and seasonality?

They come from the forecast, which feeds the policy. If you run our demand forecasting as well, the two are one system. If not, we take your forecast as an input.

Can this work with a 3PL?

Yes. Stock positions and receipts come from the 3PL feed. If the feed is the problem, that is where our warehouse management work starts.

Two-week diagnostic, fixed fee

Tell us where it hurts.

You get a ranked list of where AI pays back fastest in your operation, and a build plan for the top item.

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