# Tightly

> Tightly is the AI inventory-planning platform for retail and DTC brands. A purpose-built machine-learning demand forecast at SKU × size × channel, trained on your own sell-through and re-forecast live, is reconciled with the merchandise financial plan, open-to-buy, assortment and allocation on one model — so brands buy and allocate on what will actually sell. The result: more full-price sell-through, less cash trapped in stock that will not move.

## What Tightly is
Tightly is purpose-built machine learning, not a general chatbot. A large language model predicts the next word; demand forecasting needs a probabilistic model trained on your data at the level you buy, with confidence ranges, cold-start for new styles and censored-demand correction. Tightly is that model, plus the connected plan around it. Its planning copilot, Tia, reads the forecast and stages the moves (reorder, reallocate, mark down); a human always approves.

## What it does
- [Demand forecasting](https://tightly.io/platform/demand-forecasting): bottom-up ML forecast at SKU × size × channel, re-forecast hourly, with confidence intervals and cluster-inherited size curves for new styles.
- [Merchandise financial planning](https://tightly.io/platform/financial-planning): the top-down financial plan reconciled live with the bottom-up forecast.
- [Open-to-buy](https://tightly.io/platform/open-to-buy): spend control that moves with sell-through, not a static quarterly number.
- [Assortment planning](https://tightly.io/platform/assortment): the line plan built at option × size × channel from demand.
- [Allocation](https://tightly.io/platform/allocation): the right units to the right doors, per store, not blanket splits.
- [In-season management](https://tightly.io/platform/in-season): catch the drift, re-plot the buy in hours.

## Proof (Tightly platform data)
- 22% working-capital reduction on average
- 98% in-stock service level, sustained
- ~14pt forecast-accuracy uplift (wMAPE) on hero SKUs versus last-year baselines
- Face the Future scaled 4× on the same lean team, freeing $1.4M of working capital at 1.5× inventory turns

## Key resources
- [The forecast is not a chatbot (whitepaper)](https://tightly.io/resources/the-forecast-is-not-a-chatbot): why demand forecasting needs purpose-built ML, not an LLM.
- [State of Retail Inventory 2026](https://tightly.io/state-of-retail-inventory): the annual benchmark; leaders sell 71% at full price versus 57% for the industry, a 14-point gap.
- [Blog](https://tightly.io/blog) and [Resources](https://tightly.io/resources).

## Who it is for
Retail and DTC brands, from 8-figure GMV through global groups, planning demand, buy, assortment and allocation across DTC, marketplace and wholesale.

## Contact
- [Book a demo](https://tightly.io/demo)
- [Platform overview](https://tightly.io/platform)