Forecasting Dashboards

Forecasting & analytics

Stop ordering on gut feel

We build dashboards that forecast demand per SKU and per location, flag which products are heading for a stock-out or an overstock over the coming weeks, and suggest an order quantity based on your supplier lead times.

  • Demand forecast per SKU, store and period
  • Early warning for stock-outs and overstock
  • Suggested replenishment quantities
  • One shared view for management, buying and stores

What measurably changes

+35%forecast accuracy
Weeklyrefresh per SKU
Earlystock-out signals
Oneview across all locations
The problem

Stock either ties up capital or runs out at the worst moment

Each manager orders from their own experience. The same product sits surplus in one location and short in another, and the problem only shows once it has already cost you.

Without forecasting

  • Orders placed on instinct
  • Shortages visible only when it is too late
  • Capital locked up in overstock
  • Reports requested and delivered late
  • Every store working from its own picture

With forecasting dashboards

  • Orders placed against forecast demand
  • Warnings weeks ahead of time
  • Less capital sitting on the shelf
  • The picture refreshes itself
  • One shared truth across all locations
How it works

From messy data to a forecast you can trust

Half the work is the data. We do not skip that step.

Clean and unify

We pull sales history from every location into one format, fill the gaps and flag promotional periods.

Train and backtest

Models are tested against historical data before production, so the improvement is measured rather than theoretical.

Production with alerts

The dashboard does not wait to be opened: it pushes warnings to where your team already works.

Data sources

We work with the data you already have

No new system required. We read from whatever already records your sales.

ERPPOS / tillsEshopSpreadsheetsSQL databasesGoogle AnalyticsSupplier APIsCSV exports
Use cases

Where it pays off most

Retail chains

Forecasts per store and SKU, with automatic replenishment suggestions.

Wholesale & warehousing

Safety stock optimised per supplier and lead time.

Food & fresh produce

Daily demand forecasting to cut waste on short-life products.

What is included

What we deliver

  • Cleaning and unification of historical data
  • Forecast models per SKU and location
  • A dashboard with filters and exports
  • Automatic alerts on critical items
  • Suggested replenishment quantities
  • Training and model documentation
FAQ

Forecasting Dashboards — frequently asked questions

Two years ideally so seasonality is captured, but we can start with one. In the free review we look at what is actually available.

That is the norm, not the exception. Cleaning and unification are part of the project — we do not ask you to tidy it first.

We backtest against historical data before production, so you see a measured improvement over how you order today — not promises.

No. We read from the existing systems or from regular exports.

Buying and store managers. We design for them: a few clear signals rather than dashboards nobody opens.

Yes, as a second phase: suggested quantities can be pushed to the ERP as drafts for approval.

Proof, not promises

Our work, live in production today

Screenshot of a management dashboard showing revenue statistics

A management dashboard in production: enrolments, scheduling and revenue on one screen anyone can read without training — the base the forecasts sit on.

Shown anonymously: no logos, names or client details.

See all three projects

See what the data you already have is telling you

In a free 20-minute call we look at what you record today and what forecast can realistically come out of it.