FORECASTING & INVENTORY

Better forecasting isn't about predicting the future perfectly.

It's about making better decisions despite uncertainty.

COMMON CHALLENGES

Forecasting and inventory are connected.

Forecast

Forecast accuracy is deteriorating, bias is hidden inside aggregate numbers and commercial assumptions are difficult to challenge.

Inventory

Inventory keeps increasing while stockouts, shortages and service issues continue.

Planning workload

Planners spend too much time consolidating data instead of managing exceptions and making decisions.

WHAT I CAN HELP BUILD

A practical planning decision system.

Forecast Performance

Accuracy
Bias
Forecast Value Add
Exception analysis
Segmentation

Inventory

Inventory health
Safety stock
Stock risk
Excess & obsolete
Working capital

Analytics

Power BI
Excel / Power Query
SQL
Exception dashboards
Management KPIs

Planning Process

Roles
Planning calendar
Review routines
Escalation
Governance

DECISION ANALYTICS

Analytics should tell you where to act.

Not simply what happened.

Power BI, Excel and SQL are tools. The real objective is to help planners and management identify exceptions, understand risk and make better decisions.

Technology when it adds value

Power BI
Power Query
Excel
SQL / MySQL
SAP APO
SAP BW
Microsoft Access
Power Apps

THE PRINCIPLE

Focus planners on exceptions, not every SKU.

Not every product deserves the same planning effort.

Segmentation, exception management and risk-based prioritization help planning teams spend their time where human judgement creates the most value.

Forecasting problem or inventory problem?

Often they are two sides of the same planning problem.

Discuss your challenge