Forecaster module

    A demand forecast your operation can actually execute.

    Weekly or monthly forecasts, at the customer level, reconciled against what your biggest retailers are telling you — with safety stock and reorder points that move when demand moves.

    What it does

    Forecasts at monthly or weekly cadence

    Built from whatever data you have — shipments, orders, POS. Continuously updated. No generic templates.

    Customer-level forecasts

    Forecast each key customer independently and roll up. Aggregate accuracy hides the misses that actually cost you.

    Reconcile retailer forecasts against your own

    Ingest the forecasts your big retailers send, compare them line-by-line to yours, and flag the gaps before they hit the plant.

    Budget and accuracy tracking

    Statistical safety stock and reorder points per SKU. Forecast accuracy measured, owned, and reported in an executive-ready view.

    How it works

    1

    Load your data

    Ship history, orders, and any retailer forecasts. We handle messy data — no perfect ERP required.

    2

    Review the plan

    See the forecast, the customer-level breakdown, and the safety stock recalculations before you commit.

    3

    Act on it

    Export the S&OP deck, push reorder points to your ERP, or run the monthly cadence with our senior expert.

    Proof

    Forecaster current vs future state flow chart

    From spreadsheet-driven guesswork to a customer-level forecast your operation can execute.

    The stockouts keep happening, and nobody knows how much to hold.

    Every operator has the SKUs that haunt them. The seasonal item that sells out three weeks early every year. And here is the trap: when you stock out, last year's sales number is not last year's demand — it is only what you had on the shelf. Forecast off that number and you under-buy the same winner again next season.

    Meanwhile, the safety stock covering everything else was set once, during an ERP implementation years ago, and never touched.

    The Forecaster does both jobs in one run. Statistical safety stock and reorder points for every SKU and location, driven by the live forecast — service level, lead time, and review cycle all adjustable. Every SKU gets days-of-cover and a status: Critical, Action Required, Review, or Healthy.

    Then the part your ERP will not do: it compares what you currently have configured against what the math says, and flags the dangerous gaps. Set at 20 units when it should be 70 — that is the stockout that keeps happening. Set at 500 when it should be 150 — that is cash parked on a shelf. Every critical item gets an action card with the specific move to make, and the inventory plan exports in one click.

    See it against your own SKUs.

    15 years in supply chain at Walmart, Campbell's, and Kimberly-Clark.

    See where your production plan is breaking.

    A 20-minute demo run against a real mid-market dataset. No data prep, no commitment.

    15 years in supply chain at Walmart, Campbell's, and Kimberly-Clark.

    If you sign up and BetterDemand doesn't pay for itself in year one — every dollar back.