The AI kit for Production Planners

Builds and reworks your schedule; example: resequence Line 3 after a two-day press breakdown without missing Friday shipments.

Turns schedules and stock into net requirements; example: shows you need 1,240 housings by June 14 and drafts the purchase order.

Sets reorder points and batch sizes; example: gives part 44-210 a 900-unit reorder point and two weeks of safety stock.

Compares load to available hours; example: shows Line 2 needs 46 extra hours in July, so you plan two Saturday shifts.

Like "Adjust Production Schedule for Changes"

Like "Build Production Demand Forecasts"

Like "Identify Production Processes"

Like "Analyze Demand Forecasts for Production"

Production keeps running with the least disruption when a supplier is late.

Close each shipping notice exception and keep the plan accurate.

Service tools before they cause defects and prove that the service worked.

Start each morning meeting with the facts and a clear list of today's risks.

Let your AI assistant open and work inside real Microsoft Excel on your Windows PC.

Let your AI read Excel files fully, including the images and colors inside them.

Ask your AI to run forecasts and predictions using Chronulus AI agents, right inside your chat.

Lets your AI read, edit, and recalculate Excel files safely, without you opening Excel.

LockedIn is a web-based tool offering fast, accurate time series forecasting using Geneva Forecasting’s advanced machine learning. Generate instant forecasts fr

Unlock data-driven decisions with this analytics modeling tool, which harnesses advanced statistical models to deliver crucial insights and predictions. Ideal f

GearChain is a mobile barcoding inventory platform that syncs data with spreadsheets in real-time. Powered by AI and blockchain, it ensures accurate tracking an

Pane is an AI spreadsheet that edits cells, writes real formulas, extracts tables from PDFs, cleans messy data and builds charts-so every change is visible, edi

Build this to test whether slow output is a process problem before you spend on new equipment.

Build this to keep every forecast assumption versioned and measure error honestly month to month.

Build this so each supplier finding links to an agreed measure and the record behind it.

Recover capacity by reducing avoidable setup work.

Translate work orders into a minute-by-minute production sequence that maximises throughput at the constraint.

Forecast demand, set safety stock, and plan replenishment for multi-location retail.

Evaluate demand-forecast quality with WMAPE, bias, and Forecast Value Added vs. naive.

Sizes or audits safety stock using the z*sigma*sqrt(LT) formula with empirical stress tests per variability class.