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Inventory & Warehouse Intelligence

Stock in the wrong place, cash in the wrong stock

Reorder points set by service level, stock priced in money terms, and every recommendation approved and logged.

Warehouse with tall pallet racking, palletised goods on the floor and a forklift
The business problem

What goes wrong today

One depot is out of a fast mover while another holds months of it.

Reorder levels were set years ago as min and max figures and have not moved since. Slow stock ages quietly until it is written off.

Finance sees inventory as one number on the balance sheet. The warehouse sees bins and counts. Nobody sees what each SKU at each location costs to hold, so the cash tied up in the wrong stock is never priced, and count variances that repeat on the same shift are adjusted away as noise.

Why existing approaches fall short

  • Static min and max levels ignore how much demand and supplier lead times actually vary.
  • ERP valuation reports show what stock is worth, not what it costs each month in capital, storage, handling and obsolescence for each SKU and location.
  • Count variances are posted one at a time, so a pattern by shift, SKU or person is never seen.
The FLX4 approach

How FLX4 addresses it

  1. FLX4 sets safety stock and reorder points from a service level per SKU class, using the variability of both demand and supplier lead time, and rounds orders to MOQ. It prices carrying cost per SKU and location in money terms, split into capital, storage, insurance, handling and obsolescence by aging band.

  2. In the warehouse, a variance posts only after a completed count. Rule-based checks look for variances that repeat by shift or concentrate in high-value SKUs, and lot trace finds every location holding an affected batch. Every recommendation and every override goes into an append-only decision ledger.

  3. Stocki, the FLX4 inventory product, runs the replenishment, carrying-cost and recall-trace logic, and storekeepers work from mobile barcode scans. TransNest adds dock and yard scheduling.

Operational workflow

The loop, step by step

  1. 1 · Predict

    Price the stock

    Carrying cost per SKU and location per month, in money, with aging bands that show which stock is drifting toward obsolescence.

  2. 2 · Predict

    Set service levels by class

    Safety stock and reorder points from demand and lead-time variability, with seasonal factors and orders rounded to MOQ.

  3. 3 · Decide

    Find the moves

    Reorder, transfer between locations, defer a PO or clear aging stock. Repeating count variances are flagged with the shift and SKUs involved.

  4. 4 · Approve

    A planner accepts or rejects

    Each recommendation stays pending until a named planner accepts it. Variance adjustments are posted by the warehouse supervisor after a completed count.

  5. 5 · Execute

    Post through your systems

    Accepted reorders and transfers go to your ERP or WMS as drafts, through connectors configured per deployment.

  6. 6 · Learn

    Keep the ledger

    The decision ledger records each recommendation, override and outcome, so service levels are tuned on evidence.

Expected outcomes

What it helps you work toward

Outcomes are measured against a baseline we agree with you in writing.

Days of cover by SKU class

Days of cover by SKU class, against a baseline agreed in writing

Holding cost in money terms

Carrying cost per SKU and location per month, by aging band

Fill rate held while stock comes down

Fill rate on SKUs whose reorder points changed, compared with the prior period

Count accuracy

Book-versus-physical variance per cycle count, and repeat variances by shift

Bring us the decision behind this problem

In two weeks: the decision mapped, where money leaks, a baseline agreed in writing and a ninety-day plan with one target.

Discuss your supply chain challenge

Read-only on day one. Your people approve every action. If the number does not move, you do not scale.