Review expected production output, possible missed commitments and scenario ranges from the recorded operating context. Trace the gap into evidence and compare a response before the shift ends.
Email the founders · tell us your production challenge
Actual MagicWand product screen · demo data · click to enlarge
01 / SHIFT FORECASTING
Review the outlook with uncertainty visible
Shift Outlook presents expected shift-end output, likely missed orders and scenario ranges alongside forecast confidence. It brings the live plan, production rate and recorded operational context into the outlook. The range helps teams review uncertainty around the expected result.
In the demo
Review the expected case together with the best and worst scenarios. Treat the outlook as decision context and validate the production data behind it.
02 / SHIFT FORECASTING
Trace the gap before choosing a response
The Factory Loss Tree distinguishes losses tied to recorded downtime and scrap from losses attributed to speed, scheduling, materials, workforce and reporting evidence. The Constraint Map adds shared dependencies and downstream exposure. Both views give the team a way to inspect the explanation for a shortfall.
In the demo
Follow the relevant loss and constraint evidence. Review observed facts and attributed explanations before settling on a production response.
03 / SHIFT FORECASTING
Compare options, then keep the human decision
The Recovery Command Center ranks interventions with evidence, estimated recoverable exposure, risk, timing and required approvers. Alternative impacts can overlap, so they are reviewed as options. Concrete proposals wait in the approval queue, and the Intelligence Timeline helps inspect the recorded sequence.
In the demo
Compare the options and check their prerequisites. Review a proposed change before approval, then inspect its recorded outcome in the appropriate product view.
FOLLOW THE OPERATING QUESTION
What we’ll walk through.
01
Review the shift outlook
Inspect expected output, possible missed orders, scenario ranges and forecast confidence.
02
Trace the shortfall
Use the loss and constraint views to review observed records and attributed explanations.
03
Compare recovery options
Inspect estimated impact, risk, timing, prerequisites and required approvers. Alternative impacts may overlap.
04
Approve a concrete proposal
Keep a proposed change distinct from execution and inspect its recorded outcome in the product workflow.
BRING AN EXAMPLE TO YOUR DEMO
Start with the process you use today.
We’ll review your current process, demonstrate the relevant product views and discuss data and connection requirements. You can describe the records you use; sample data is optional.
These are discussion inputs, not a complete integration specification or a fixed implementation promise.
Plan and production so far
An example shift target, reported output and the review time.
Rate and remaining time
How your team measures running rate and records stops and scrap.
Readiness and constraints
Material, workforce, quality and downstream records relevant to the shift.
Commitments at risk
Work orders, due dates and the operational limits that a recovery option must respect.
BUYER QUESTIONS
Before your product demo.
Is this sales-demand forecasting?
Shift forecasting concerns the operational production outlook during a shift. The page focuses on expected output and possible production shortfalls.
Does forecast confidence guarantee accuracy?
Confidence and scenario ranges provide context for interpreting the outlook. The forecast is an estimate; assess source data and validation requirements for your factory.
Does a recommendation execute itself?
The governed factory intelligence workflow separates recommendations, concrete proposals and execution. Proposed changes require a human decision before they are applied.
How is Shift Outlook different from the free calculator?
The free calculator performs constant-rate arithmetic from values you enter. Shift Outlook is the product’s operational view of recorded production context, scenario ranges and recovery evidence. Neither description establishes accuracy for a particular factory; assess that against your data.
Can we add the impact of every recovery option together?
Alternative impacts can overlap or depend on the same stock, time or resource. Review them as options with prerequisites rather than adding every estimate into a guaranteed result.
What should we bring to a forecasting demo?
An example shift target, output position, rate, remaining time and the stops, scrap or material constraints your team currently records. Include the orders or commitments you are concerned about.
Bring the production gap your team wants to understand. We’ll demonstrate Shift Outlook, evidence, recovery options and approval, then discuss the data and validation requirements for your factory.
