Costs nobody fully knows
With raw material prices changing often, it’s hard to know the real cost and margin of each product.
Industries · Manufacturing
Data and AI for manufacturing: production, costs and sales in one place.
We integrate sales, production, purchasing and inventory so you know what each product really costs, what to produce and which raw materials to buy before they run out.
The challenges we see
What holds companies like yours back
Planning production by gut feel
Without a sales forecast, you overproduce what doesn’t sell and run short of what does.
Raw materials that run out or pile up
Purchasing decisions are made at short notice, mixing rush orders, overstock and tied-up capital.
The plant and the office, disconnected
Output, waste and downtime are recorded on spreadsheets or paper and don’t reach decision-makers in time.
How ready is your data? Take the 2-minute AI readiness check
What we build
Solutions designed for your business
Cost and margin by product
A model that combines bills of materials, consumption and purchase prices to calculate the cost and margin of each product and customer.
Forecasting to plan production
We anticipate demand by product to plan what to produce and when.
See the sample dashboardRaw material purchasing and inventory
Purchasing needs based on the production plan, inventory and each supplier’s lead times.
Plant dashboard
Output, efficiency, waste and downtime by line and shift, recorded simply and updated every day.
KPIs
What we measure
We define the key KPIs with your team and calculate them every day with the same rules.
- Cost and margin by product and customer
- Production plan attainment
- Efficiency by line and shift
- Scrap and waste
- Downtime and its causes
- Raw material and finished goods inventory
- Forecast accuracy
- Days of supply coverage
- On-time deliveries
Demand forecast · Central warehouse
Sample data
- Horizon: 8 weeks
- Category: All
- Warehouse: Central
- Forecast accuracy
- 92.4% ▲ 6.1 pp vs. previous method
- Forecast demand (8 wks)
- 231,600 units ▲ 12.5% vs. last 8 wks
- Products at risk of stockout
- 37 ▼ 12 vs. last week
- Estimated overstock
- $2.3M ▼ 18% vs. last quarter
Weekly sales and forecast
Thousands of units
- Actual
- Forecast
- Likely range
18
22
26
30
34
Forecast
30.5K
View data
| Week | Actual (thousands) | Forecast (thousands) | Likely range |
|---|---|---|---|
| Week 1 | 21.2 | — | — |
| Week 2 | 22.0 | — | — |
| Week 3 | 21.6 | — | — |
| Week 4 | 23.1 | — | — |
| Week 5 | 22.8 | — | — |
| Week 6 | 24.0 | — | — |
| Week 7 | 23.5 | — | — |
| Week 8 | 22.9 | — | — |
| Week 9 | 24.6 | — | — |
| Week 10 | 25.1 | — | — |
| Week 11 | 24.3 | — | — |
| Week 12 | 25.8 | — | — |
| Week 13 | 26.2 | — | — |
| Week 14 | 25.5 | — | — |
| Week 15 | 26.9 | — | — |
| Week 16 | 27.4 | — | — |
| Week 17 | — | 27.9 | 27.1 to 28.7 |
| Week 18 | — | 28.3 | 27.2 to 29.4 |
| Week 19 | — | 27.6 | 26.3 to 28.9 |
| Week 20 | — | 29.0 | 27.4 to 30.6 |
| Week 21 | — | 29.4 | 27.6 to 31.2 |
| Week 22 | — | 28.8 | 26.8 to 30.8 |
| Week 23 | — | 30.1 | 27.9 to 32.3 |
| Week 24 | — | 30.5 | 28.1 to 32.9 |
Much of our plant records data on paper or in spreadsheets. Does that work?
Yes. We start with what you have and propose simple ways to capture the data (forms or spreadsheets with rules), without changing everything at once.
Do we need sensors or a plant system?
Not to get started. Many KPIs can be calculated from ERP data and production records. If adding automatic machine data makes sense later on, we’ll evaluate it.
Where do we start?
With a data assessment: in two weeks you’ll know which sources you have and which solution to build first.
Run a manufacturing company? Let’s start with your data.
Tell us about your challenge and we'll map out the first step together. No cost, no commitment.