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Forecasts your planners actually use.

Demand, throughput, energy and capacity forecasts at SKU, line and plant level — connected to S&OP, MRP and the schedule, not stuck in a notebook.

For

Demand PlannerProduction PlannerS&OP LeadEnergy Manager
rockq.app/forecast/ev-stator-r3

Planning / Demand

Forecast · SKU EV-Stator-R3 · 12 wk

Horizon
6088115143170todayCapacity gap · wk 7
Actual Forecast 80% PI
MAPE6.4%
Bias+1.1%
PI coverage94%
The problem

Excel forecasts age fast. Planners need probabilities, not point guesses.

Markets, shifts and supply move weekly. Static forecasts can't keep up — and a single number lies about uncertainty. RockQ produces probabilistic forecasts and refreshes them whenever new actuals arrive.

What's included

Capabilities included.

Demand forecasting, throughput forecasting and energy forecasting — at SKU / line / plant level, with confidence intervals.

Demand Forecast

Demand forecasts at SKU and plant level — wired straight into S&OP and capacity planning.

Energy Management

Monitor energy consumption per machine. Identify waste and optimize usage to reduce costs.

Throughput Forecast

Forecast line and shift throughput against orders. Catch capacity gaps before planning meetings catch you.

Forecast horizons

Three horizons, one platform.

Forecasts that drive shift schedules, S&OP plans and capital decisions are different problems. RockQ runs all three on the same data — so they actually agree.

Today → 14 days

Operational

Daily and weekly throughput, energy and crew load — refreshed when the line refreshes.

What it drives

  • Shift staffing
  • Material pull
  • Daily energy budget
2 weeks → 12 months

Tactical

S&OP-grade demand, throughput and capacity forecasts at SKU and plant level.

What it drives

  • S&OP cycle
  • MRP horizon
  • Inventory targets
12 → 36 months

Strategic

Long-range demand and capacity scenarios for capital and footprint decisions.

What it drives

  • Capacity planning
  • Capex cases
  • Plant footprint
How it works

From history to plan.

1

Aggregate

Pull sales, orders, throughput and energy actuals from ERP, MES and meters.

2

Model

AutoML picks per-SKU models. Hierarchical reconciliation keeps totals honest.

3

Refresh

New actuals retrigger forecasts automatically. Planners always see the latest view.

4

Plan

Forecasts and intervals push into S&OP, MRP and capacity tools you already use.

Outcomes

Planning outcomes.

+18%

Forecast accuracy

Lower MAPE across SKUs, automatically tuned per series.

−35%

Stockouts

Confidence intervals drive safety stock that fits each SKU.

−60%

Planning cycle

From weekly Excel war-room to a live plan refresh.

Connects to
SAPOracleSnowflakeDatabricksCSV / ExcelREST APIs

Powered by the RockQ platform

This solution composes these platform capabilities. Each one is also available standalone.

Talk to the people who built it

An expert behind every solution.

Real engineers, real factory experience. Drop them a line — they'll respond, scope and propose a working architecture, not a sales deck.

Senad Redzic

Senad Redzic

Head of AI

Most factory AI dies in PoC. Mine ships because we treat the model as one piece of a deployed system — connected to live data, owned by your team, governed end-to-end.
Stefan Höhenberger

Stefan Höhenberger

COO

Manufacturing teams own their systems again. We pick problems where the win is measurable in the first quarter, then ship from there.

Forecast one SKU we can prove.

Send 24 months of history. We'll come back with a forecast and the planner workflow it powers.

Forecasts your planners actually use. | RockQ Technologies