Forecasting

Know what demand does next. Forecast it to the last SKU.

Molsaro forecasts unit demand across every market, brand and SKU you sell. Every forecast carries the range around it, the movements behind each revision, and its record against what actually happened. Published once, and planned against by every team.

Published forecast

Kestrel Oat Bars · UK Grocery · weekly

Published 02 Jul 2026 · Owner Category & Product Management

18.4M units

Expected range
17.6 – 19.1M
Against plan
+2.8%
Know What Demand Does Next | Molsaro Forecasting Twenty-seven weeks of recorded actuals run between 1.24 and 1.59 million units a week, including a promotional peak in week 10. At week 26 the line becomes the published forecast for the next thirteen weeks, totalling 18.4 million units. An expected range widens with the horizon to 17.6 to 19.1 million units over the same thirteen weeks. A gold dashed line marks the plan of 17.9 million units. ACTUALS THROUGH 2026-W26 PUBLISHED FORECAST · 13 WEEKS 19.1M 17.6M PLAN 17.9M W10 FEATURE & DISPLAY

What gets forecast

A forecast for every product you sell.

  • Every SKU in the portfolio

    Fast movers and slow movers alike, each with its own forecast — not a sample of the top sellers with the rest averaged in.

  • On your calendar

    Daily, weekly or monthly, on the grain your sales data actually arrives in.

  • Units and value

    Unit demand across the portfolio, and sales value wherever your price basis is complete.

  • Your routes to market

    Customer, account, channel and geography views wherever your connected data supports them.

The forecast reads from the sales, price, promotion and distribution data already connected to your workspace. See the connectors

One forecast, every level

Every level of the portfolio adds up to the same forecast.

  • Your market total, your brand plans and your SKU lines come from one forecast, so Revenue Growth Management, Finance and Category & Product Management are working from the same number without reconciling spreadsheets afterwards.
  • Your own products sit inside the whole market you compete in, not beside it — so share is a result of the forecast, not a separate exercise.
  • A revision at one level appears at every other level in the same run.
  • Customer, account, channel and geography views join the same structure wherever your connected data supports them.

Behind the number

Every revision explained. Every forecast measured.

  • Every revision arrives with the business movements that sit behind it — market, competitive, price, promotion, distribution, holiday, weather, seasonality, trend and base — and with the part no movement accounts for, shown rather than absorbed.
  • Closed periods are scored against what actually happened: error, bias, and how often the actual landed inside the range you published.
  • Ask in plain language why the forecast moved, and get the answer with the figures it was drawn from.

What moved since the last published forecast

+0.70M units

revision since the last published forecast

  • Distribution +0.42
  • Promotion +0.31
  • Seasonality +0.12
  • Price −0.18
  • Competitive −0.09
  • Residual (balancing) +0.12

Revision+0.70M

How the last forecast held up

6.4%
Error (WMAPE)
+1.2%
Bias (over-forecast)
11 of 13
Weeks inside the published range

Kestrel Oat Bars · UK Grocery · weekly · comparison window 2026-W14 to 2026-W26

Published forecast

Kestrel Oat Bars · UK Grocery · weekly

18.4M units

Expected range
17.6 – 19.1M
Published
02 Jul 2026
Owner
Category & Product Management

Scenario

Q4 feature & display · W40–W44

Reference case: published forecast, 18.4M units

+1.2M units

Expected range
18.9 – 20.4M
Revenue
+£4.1M
Gross profit
+£0.9M
Reviewed by Category & Product Management · 09 Jul 2026 not adopted

Plan · Q4 2026

Kestrel Oat Bars · UK Grocery

19.6M units

Adopted
09 Jul 2026
By
Category & Product Management

Published forecast unchanged  18.4M

From forecast to commitment

Turn a scenario into a plan your team owns.

  • The published forecast is the reference case. Every scenario is measured against it, and running one never changes it.
  • Compare units, the range around them, revenue and gross profit before anyone commits budget to the move.
  • A named team reviews the scenario and adopts it. Adoption moves the plan; the published forecast stays exactly where it was, so next month's accuracy review still means something.
  • Whatever your teams adopt keeps the function that approved it and the date they did.

Start with one category. Leave with the forecast.

A season of your sales history is enough. We will show you the forecast, the range around it, and the decisions it changes.