# Demand Forecaster: Weekly Demand for Every Part at Every Location > The Demand Forecaster is the AI demand forecasting agent in the Ai1 platform by MyZone AI for distributors and parts businesses: it estimates weekly demand for each part at each location with a range and a plain reason, then scores last week's forecast against what customers actually ordered. Canonical page: https://myzone.ai/pages/agents/ai-demand-forecasting-agent Part of Ai1, by MyZone AI. Book a Demand Forecast walkthrough: https://calendly.com/d/ct6h-tcy-8qf/ai1-demo?a1=Demand%20Forecaster&utm_source=myzone.ai&utm_medium=agent-page&utm_content=ai-demand-forecasting-agent-final Last updated: 2026-10-30. Reviewed by the MyZone AI team. Weekly demand for every part at every location, scored against real orders. ## At a glance - **Each week:** An estimate per part and per location, built from your own sales and order history - **Range and reason:** Every estimate shows how sure it is, and a thin history is flagged - **Method per part:** Steady, seasonal and occasional sellers each get a method suited to how they move - **Big one-off orders:** Kept apart from everyday demand, so they do not inflate the forecast - **Scored weekly:** Last week's forecast set against actual demand, part by part - **Your system:** Read from a weekly export; it never logs in to or changes your inventory system ## What the Demand Forecaster does - **Forecasts each part at each location:** A weekly estimate per part and per location, built from your own sales and order history. - **Matches the method to the pattern:** Steady sellers, seasonal lines and parts that sell only occasionally each get a forecasting method suited to how they move. - **Shows the uncertainty:** Each estimate carries a range, and a thin history is flagged rather than dressed up as precision. - **Keeps one-off big orders apart:** A large one-time order from a single customer is separated out, so it does not inflate the everyday forecast. - **Scores the week that just closed:** It compares last week's forecast with what customers actually ordered and keeps a running record of how it did. - **Works from an export, not a login:** It reads a weekly snapshot from your inventory system and does not connect to the system itself. ## How the Demand Forecaster differs from a spreadsheet average A spreadsheet average treats every part the same, so a seasonal line looks like a spike and a part that sells now and then looks like it never sells. The Demand Forecaster matches the method to each part's pattern, keeps one-off big orders apart, adds back logged lost sales and shows a range with every estimate. It then scores itself each week. It only forecasts; your people decide what to stock. How this differs from the Inventory Lead (https://myzone.ai/pages/agents/ai-inventory-agent): To turn forecasts into approved min/max changes, use the Inventory Lead; the Demand Forecaster estimates weekly demand for each part at each location and scores last week's forecast. ## How it works 1. **Share a weekly export** (When you first set up): Your team, with help from your Ai1 team, sets up a weekly snapshot of stock, sales and open orders. 2. **It runs the forecast** (Each week): Each part at each location gets an estimate, a range and a short reason. 3. **It grades the previous week** (Once a week has closed): Last week's numbers are set against what customers really ordered, part by part. 4. **People decide what changes** (you approve) (In the weekly review): The forecast feeds the weekly review run by the Inventory Lead, where your people decide whether any stock level moves. ## When to use it - **A seasonal part starts its yearly ramp:** It reads the same weeks in past years, so the rise is expected rather than treated as a surprise. - **A part sells only a few times a year:** Its forecast uses a method made for patchy demand and says plainly how uncertain it is. - **One customer places a huge one-off order:** That order is kept apart from everyday demand so next week's estimate is not thrown off. - **A part was out of stock for weeks:** Lost sales your team recorded are added back, so the empty weeks do not read as zero demand. - **You want to know if the forecasts hold up:** The weekly score shows how close recent forecasts came, part by part and location by location. ## What you get - A weekly demand forecast per part and per location - A range and a plain reason for each estimate - A weekly accuracy score against actual demand - Flags for thin histories and unusual orders - A short written summary for your team ## Example: weekly parts demand forecast with last week scored Example with a fictional company. Names, people and figures are invented to show the agent's output. Any resemblance to a real company or person is unintended. What it was asked: How many of each part will each branch need next week, and how close was last week's forecast? This is an illustrative example of the weekly forecast and scorecard Demand Forecaster is being built to produce. It was written by hand from the agent's design for an invented company with invented parts, branches and figures; no real systems or people were involved, and nothing was sent, posted, paid or changed. Run date: 22 October 2026. ### What it found - Demand Forecaster expects 18,940 units across 4,212 part and branch lines for the week of 26 Oct, 3% above the four-week average, led by heater parts at North branch. - Quarvell's own forecast for 12 to 18 Oct ran 1.5% high overall, with a 14.2% weighted error and 81% of lines landing inside their likely range. - Seven one-customer bulk orders were kept out of the base, 34 metres of logged lost hose demand were added back, and three data questions wait for your team. ## Guardrails - Your Ai1 team will tell you when the Demand Forecaster is ready for your account. - Its forecasts are estimates, not advice. People decide what to stock. - It reads a weekly export and does not log in to or change your inventory system. - Back orders stay counted as real demand; only lost sales your team logged by hand are added back. - Customer and sales detail stays private to your account and is shared only as summaries. ## Frequently asked questions ### How do you forecast demand for parts that sell only now and then? Parts that sell in irregular bursts break ordinary averages, because most weeks show nothing and then a large order lands. Methods built for intermittent demand look separately at how often orders come and how big they are. The Demand Forecaster picks a method that fits each part's pattern and shows how uncertain the estimate is. ### Why should a demand forecast be scored every week? A forecast nobody checks can drift for a long time before anyone notices. Comparing each closed week with actual demand shows which parts the method reads well and which it does not, so your team knows how much weight to give each estimate. The Demand Forecaster keeps that score part by part and location by location, and promises no accuracy figure up front. ### Why do out-of-stock weeks distort a demand forecast? When a part sits at zero on the shelf, sales history records no demand, even if customers kept asking for it. A forecast built on those weeks reads the part as less popular than it is. The Demand Forecaster adds back the lost sales your team logged, with a confidence weight, while back orders stay counted as real demand. ### What is AI demand forecasting for parts? It estimates how many of each part customers will order, week by week and location by location, from your own history. The Demand Forecaster adds a range and a reason to each estimate and scores itself against what actually sold. ### How accurate are its parts forecasts? That depends on your parts and your history, so no figure is promised up front. Each closed week is scored against actual demand, so you can see how it performs on your own data. ### Does the Demand Forecaster change our stock levels? No. It only forecasts. The Inventory Lead turns forecasts into proposed changes, and your people approve each one before it reaches your inventory system. ### Does it connect to our inventory system? It works from a weekly export of stock, sales and orders. It does not log in to your system or write to it. ### Is the Demand Forecaster available now? Not yet. Your Ai1 team will tell you when the Demand Forecaster is ready for your account. You can talk to us today about forecasting demand for the parts you carry. ## More on this topic - [AI-Powered Scorecard Tracking: A Worked Cost Example](https://myzone.ai/pages/blog/ai-scorecard-tracking): Your team wastes 378 hours a year updating scorecards. At $100/hr, that is $37,800 lost annually. See how AI-powered scorecard tracking fixes it. ## About Ai1 Ai1 is the AI operations platform by MyZone AI, where each client runs on its own private server. The Demand Forecaster is not sold on its own: every Ai1 agent, including this one, is included on Developer Pro and every Fully Managed option, with no per-agent charge. Developer Core includes the development agents. Pricing: https://myzone.ai/pages/services/ai1-pricing. Security: https://myzone.ai/pages/security.