🎯 Decision & Strategy

Forecasting & Demand Planning

Ordering on gut feel and last year's numbers. Demand swings catch you off guard. Overstock ties up cash while stockouts lose sales and damage customer trust.

How AI Helps

Export sales or inventory history to reveal patterns and predict future demand. Make confident ordering decisions based on data.

✓ Pattern recognition: Spots seasonal trends and growth patterns in your historical data
✓ Anomaly detection: Identifies unusual spikes or drops and explains what might be causing them
✓ Scenario modeling: Shows best, worst, and likely scenarios so you can plan ahead

Pain Points This Solves

Different pains, tailored solutions.

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Flying blind

Stop guessing at what's coming

Ordering on gut feel and last year's numbers. Demand swings catch you off guard every time.

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Money leaking

Stop tying up cash in wrong inventory

Overstock ties up cash in products that don't move while stockouts lose sales you can't recover.

Implementation Tiers

Choose the level that matches your readiness and ambition.

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Quick Win

1-2 days

Export sales or inventory history to Excel with Copilot or upload to AI Chatbot (ChatGPT, Claude). Ask 'what's my seasonal pattern?' or 'why did demand spike?' Get instant trend analysis and visualizations.

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Examples

Seasonal pattern identification, year-over-year comparisons, inventory turnover analysis, demand spike root cause

✓

Business Impact

Understand demand patterns in minutes instead of days. Make ordering decisions based on data, not gut feel.

Efficiency

🔧

Workflow Fix

3-5 weeks

Connect your data to Demand Planning Software (Inventory Planner, Streamline) or Power BI/Fabric for automated weekly forecasts and reorder point calculations.

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Examples

Automated reorder point calculations, demand forecasting dashboards, safety stock optimization, supplier lead time tracking

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Business Impact

20-40% improvement in forecast accuracy. Reduce stockouts and overstock simultaneously.

Scale

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Tailored Asset

6-10 weeks

Build forecasting models trained on your specific data—incorporating your seasonality, your suppliers, and external signals like weather and events. No off-the-shelf tool has that context.

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Examples

Machine learning demand prediction, dynamic pricing integration, multi-location inventory optimization, supplier collaboration portals

✓

Business Impact

Own your forecasting advantage. Reduce carrying costs 15-25% with predictions built from your own sales reality, not generic industry data.

Strategic Moat