---
title: "Inventory & demand forecasting copilot | Roundly"
description: "Demand forecast per SKU from sales history and seasonality — purchase orders proposed with reasoning, stockouts and overstock flagged early."
url: https://roundly-consulting.com/use-cases/operations/inventory-forecasting-copilot
language: en
---

Category: Operations & logistics Use case: Demand planning For: Purchasing & operations managers

# Inventory & demand forecasting copilot

Demand per SKU is forecast from sales history, seasonality and trends. Purchase orders are proposed with the reasoning attached, and stockouts and overstock warn weeks ahead — the buyer decides, with the math already done.

## What it solves

01

### Capital stuck in overstock

Order quantities follow forecast demand, not gut feeling.

02

### Lost sales from stockouts

Runout dates are visible weeks in advance.

03

### Planning in a giant spreadsheet

Forecasts update themselves as sales land.

## How it works

1. 01

    ### Learn

    Sales history, seasonality and trends feed the forecast per SKU.

2. 02

    ### Forecast

    Expected demand and runout dates update continuously.

3. 03

    ### Propose

    Draft purchase orders come with the reasoning attached.

4. 04

    ### Decide

    The buyer reviews, adjusts and approves — with the math done.

## Before & after

### Without it

- Ordering by feel and last year's numbers
- Bestsellers out of stock in season
- Slow movers piling up in the warehouse
- Forecast lives in one planner's spreadsheet

### With it

- Per-SKU forecasts updated continuously
- Runouts flagged weeks before they happen
- Proposed orders with reasoning attached
- Capital freed from slow-moving stock

## Your process could be next.

Tell us what eats your team's time — we'll show you what an AI prototype could do about it.

[Talk to us](https://roundly-consulting.com/contact.md) [Explore the Cosmos platform](https://roundly-consulting.com/cosmos.md)