For Demand Planners

Own a forecast the whole business trusts.

A bottom-up, SKU-level forecast built on real sell-through — accurate enough to plan supply, inventory and cash against, and defensible in the S&OP room. Off spreadsheets, on your ERP.

22%
working capital freed
98%
in-stock, sustained
97%
would recommend
See it on your data

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Working-capital calculator

How much cash is trapped in your inventory?

Two numbers you already know. The estimate defaults to a conservative band, so most Tightly customers free more than this.

Annual revenue$20M
$1M$100M$250M+
Inventory valueEstimated
$

Estimated at 15% of revenue for other consumer brand — type your real figure to override.

Estimate

Frees 10% of your inventory — a deliberately cautious floor.

Cash you could free
$300k
A one-time release of 10% of your inventory — roughly $300,000 back in the business.
Then saved every year after
$66k/ year
The all-in cost of holding that stock — capital, storage, insurance and shrink — that you stop paying.
Get the walkthrough

Estimate only, for illustration. The one-time figure frees a conservative share of your inventory value; the annual figure is the all-in cost of holding that stock (we assume 22%/yr, covering cost of capital, storage, insurance and shrink) that you stop paying. The conservative band sits below the Tightly platform average — we’ll model the real numbers on your own categories.

From the operators at

UnileverM&SWHOOPBromptonSpeedoKiplingGathreHeist
22%

working capital reduction, on average

98%

in-stock service level, sustained

97%

would recommend Tightly to a peer

The shift

The forecast, before and after.

  1. 01
    ThenA trailing average in a spreadsheet, re-keyed every cycle.
    A bottom-up ML forecast at SKU, size and channel, off real sell-through.
  2. 02
    ThenNew products guessed; no comparable-history method behind the number.
    New products forecast from comparable history, flagged as less certain.
  3. 03
    ThenOne blended demand signal across every channel.
    Each channel reads its own demand signal, not a blended average.
  4. 04
    ThenThe consensus meeting argues the number instead of acting on it.
    One trusted number the S&OP room plans against.
The pillars

A forecast built to be planned against.

01

Bottom-up, by SKU.

Demand modelled at the SKU, size and location level from real sales, seasonality, price and promotion — not a trailing average.

Per SKU
Forecast at item, size and location.
02

Cold-start handled.

New products forecast from comparable history and treated as less certain than a proven seller, so the plan knows what to trust.

Day one
New products forecast without their own history.
03

Accuracy you can show.

Forecasts backtested against what actually sold, so you can defend the number and see where it earns its keep.

Backtested
Every forecast measured against actuals.
04

Less dead stock.

A truer forecast means less excess and obsolete inventory, and more cash in the lines that trade.

22%
Working capital freed, on average.
Your agents

Your agents keep the forecast honest between cycles.

As fresh sell-through lands, the model re-forecasts continuously and flags where demand has diverged from the plan — so you walk into S&OP with the moves already staged.

Tightly agent
just now · within your limits
Live

Merino Layers demand has softened −12% over two weeks; Everyday Denim firming +9%. Re-forecast is ready for both — want them staged for the consensus review?

Forecast drift · this weekΔ wmape
Everyday Denim+9%8%
Merino Layers−12%11%
Studio Trainers+5%9%
Rebalance 240u DC → SFRe-baseline OTB Q3Hold buy on OCN-072
Stage movesReview firstLogged · audit ready
Apparel · $60M revenue

I used to spend the week rebuilding the forecast and the meeting arguing about it. Now the number holds up on its own and we spend the time on the exceptions.

MB
Multi-channel brand
Demand Planning Manager
SKU-level
Forecast the S&OP room plans against.
What you get

What demand planners get on day one.

A forecast that holds up

Bottom-up, SKU-level, on real sell-through — accurate enough to plan supply, inventory and cash against.

New products, forecast

Cold-start from comparable history, flagged as less certain, so the plan treats new lines honestly.

Continuous re-forecast

The number updates as sell-through lands. You walk into S&OP with the moves staged, not the workbook half-built.

Off spreadsheets, on your ERP

Forecasts run on your existing ERP, EDI, POS and WMS. Nothing to re-key, live in weeks.

Demand planning, answered.

How does Tightly forecast demand?

Tightly builds a bottom-up forecast at the SKU, size and location level using machine learning on your real sell-through, seasonality, price and promotion. It updates continuously as new actuals land, rather than being rebuilt each cycle.

How does it handle new products with no sales history?

New products are forecast from the history of comparable styles and treated as less certain than proven sellers, so the plan applies the right confidence to them instead of guessing.

Can I see how accurate the forecast is?

Yes. Forecasts are backtested against what actually sold, so you can measure accuracy, defend the number in the S&OP room, and see where the model adds the most lift.

Does it replace our forecasting spreadsheets?

Most demand planners move off the workbook entirely. Tightly holds the forecast on one connected surface, fed from your ERP, EDI, POS and WMS, and reconciles it with the merchandise plan and the buy.

Will it fit our S&OP process?

Tightly is built for the retail planning cadence. It produces the trusted demand number and stages the re-forecast, so your consensus meeting is about decisions and exceptions, not rebuilding the number.

One number the business plans against. Bring one category. See the forecast.

Give us 30 minutes on a category. We'll run it through the model, backtest it against what actually sold, and show the forecast on your real data.