# Demand planning · Use cases · Dscvry

> Demand planning: forecasts by product and week built from order history, open orders, promotions and known events, with the uncertainty shown and the plan...

Source: https://dscvryai.com/use-cases/demand-planning/

# How much will we need next month?

Demand forecast from orders, history and the events you already know about, so stock and capacity are planned before the rush, not during it.

See it worked through ·

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2. [Use cases](https://dscvryai.com/#use-cases)
3. Demand planning

## The forecast is last year. The plan is a guess.

Most forecasts copy last year forward. The promotion, the new customer and the shutdown that will change next month live in emails and calendars.

### Known events, left out.

Promotions, contract wins and planned shutdowns rarely make it into the numbers.

### One number, no range.

A single forecast hides how sure anyone is, so safety stock is set by feel.

### Updated monthly.

Orders that arrive mid-month don’t move the plan until the next meeting.

## What the AI reads.

Order history, open orders and the events that will change demand, read together for each product and site.

### In

- Sales and order history
- Open orders and quotes
- Promotion and price calendar
- Customer contracts
- Planned shutdowns and events
- Stock and line capacity

### At work

1. [Understand](https://dscvryai.com/technology/understand/) Turns emails, calendars and contracts into dated demand events.
2. [Anticipate](https://dscvryai.com/technology/anticipate/) Forecasts demand by product and week, as a range rather than one number.
3. [Check](https://dscvryai.com/technology/check/) Compares each week’s forecast with actual orders and flags drift early.
4. [Operate](https://dscvryai.com/technology/operate/) Proposes the purchase and shift changes for a planner to approve.

### Out

A forecast with a range, and the plan that follows from it.

## Every product forecast. Every change explained.

Planners see next month’s demand by product, how sure the forecast is, and which events moved it.

Demand forecast · The reasoning ·

Demand forecast · Chilled range · November Illustrative

4 products · 1 steady · 1 rising · 1 falling · 1 short of capacity

| Product | Description | Forecast | Detail | Units |
|---|---|---|---|---|
| CH-210 | Fresh soup, 600 g | Steady | In line with last November | 18,400 |
| CH-218 | Ready meals, family size | Rising | Promotion at two retailers from week 46 | 26,900 |
| CH-225 | Salad bowls | Falling | Seasonal drop, as in the last three Novembers | 9,300 |
| CH-231 | Party platters | Short of capacity | New contract starts 18 November | 7,800 |

Illustrative example. Products, customers and volumes are fictional.

## Built for planners.

The AI forecasts. Planners still own the plan.

### A range, not a promise.

Every forecast shows how sure it is, so buffers are set on evidence.

How Anticipate works
https://dscvryai.com/technology/anticipate/

### Every change has a reason.

The order, promotion or event that moved a forecast is shown beside it.

How Understand works
https://dscvryai.com/technology/understand/

### Nothing ordered automatically.

Purchase and shift proposals wait for a planner to approve them.

How Operate works
https://dscvryai.com/technology/operate/

## Same records. Other questions.

The documents and data behind this work answer other questions too.

What runs out before the next delivery?

### Stock shortages

Anticipate shortages before they become a problem.

See how →
https://dscvryai.com/use-cases/stock-shortages/

What needs maintenance, and when?

### Maintenance planning

Decide what should be maintained, and when.

See how →
https://dscvryai.com/use-cases/maintenance-planning/

Will this shipment arrive on time?

### Late shipments

Spot delays early and tell the customer first.

See how →
https://dscvryai.com/use-cases/late-shipments/

Who is about to leave?

### Customer churn

See which accounts are drifting, and why.

See how →
https://dscvryai.com/use-cases/customer-churn/

More in Supply chain
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us last year’s orders and next month’s calendar.

We’ll build a forecast with a range for your key products and show you what moved it.

[Talk to us →](https://dscvryai.com/contact/?topic=Demand%20planning%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India