How accurate is the forecasting?

Accuracy depends on your data quality and the variability of your demand. We measure accuracy against your historical baseline and report MAPE (mean absolute percentage error) for each product family. Most clients see 15-25% accuracy improvement within the first 6 months.

Can you handle seasonal products?

Yes. Our model explicitly incorporates seasonal patterns, promotional calendars, and external events. We decompose demand into trend, seasonality, and noise so you can see what's driving each product's behavior.

How long until we have a working forecast?

3-4 weeks of data setup and model training. Your planners get a draft forecast in week 3, then we refine calibration for 2-3 weeks before going live. By week 6-7 you're running full forecasts.

Can we combine this with Demand Planning Agent?

Absolutely. The Agent uses the forecasts you get here. The forecast is the foundation; the Agent layers in exception management, promotional adjustments, and supply constraint visibility. Most clients start with forecasting, then add the Agent once they've embedded the process.

Demand Planning - Williams

What we do

Statistical forecasting with human oversight

We build demand forecasts that combine statistical models with your domain knowledge, learning from historical demand, seasonality, promotional patterns, and market signals. Every forecast includes decomposition so you see exactly what's driving each prediction.

Our Review agent monitors every cycle to flag anomalies, detect bias, and recommend adjustments with evidence. Your planner approves before the forecast goes live.

Statistical models Seasonality decomposition Promotional uplift Anomaly detection Accuracy tracking

How it works

Data → Models → Review → Live

1. Data preparation. Connect to your ERP, planning system, or data warehouse and extract demand history, promotional calendars, and external signals. Takes 1-2 weeks.

2. Model training. Train forecasting models for each product family, test multiple approaches, and select the one with the best historical accuracy. Takes 1-2 weeks.

3. Review cycle. Each month the Review agent produces forecasts and analyzes them for anomalies and material changes. Your planner approves before execution. Takes 2-3 days.

4. Integration. The approved forecast flows into your planning system and continuously calibrates based on accuracy and actual demand.

4-week implementation Monthly forecast cycles Full explainability Continuous calibration

What changes

The impact of better forecasts

Better forecasts reduce stock-outs, lower excess inventory, and free up working capital. Your planner stops firefighting and starts planning, with a single source of truth for demand instead of multiple spreadsheets.

Finance can trust the signal, Marketing can plan campaigns with real forecast impact, and Procurement can commit to supply programs. Typical results: 15-25% accuracy improvement, 10-20% inventory reduction, and 1-2% working capital freed at COGS.

15-25% accuracy improvement 10-20% inventory reduction Freed working capital Cross-functional alignment

15-30%

Forecast error reduction

2-4 wks

Agent deployment time

40-60%

Planner time recovered

85%+

Forecast accuracy target

Investment and timeline

Typical scope

200-2000 SKUs
2-3 years historical demand
Monthly or weekly forecast frequency
3-6 month rolling horizon
Integration with your ERP or planning system

Project timeline

Weeks 1-2: Data setup, system integration
Weeks 3-4: Model training, accuracy testing
Weeks 5-6: Pilot forecast, team training
Week 7+: Live forecasts, continuous improvement

Investment

Typical setup: $8K to $25K one-time, depending on data quality and integration complexity. Monthly service: $3K to $12K per month depending on SKU count and forecast frequency.

Questions we hear

How do you handle new product launches?

New products have no historical data, so we use analogous product demand patterns and sales funnel data. Once you have 3-6 months of actual demand, the model calibrates automatically. Early forecasts are less accurate but improve rapidly.

Can this handle multiple sales channels?

Yes. We build separate forecasts by channel if demand patterns are different, then aggregate them. You can see forecasts for wholesale, DTC, and retail separately, or combined. You decide the level of granularity.

What happens if demand changes dramatically?

The Review agent flags material deviations from historical patterns. You can manually adjust the forecast, and the model learns from your adjustment for next month. You're always in control.

Do you integrate with S&OP?

Yes. The demand forecast is the input to your S&OP process. We provide the forecast, your S&OP team balances demand with supply and finance, then you execute. We feed the approved plan back into our model to continuously improve.

What's the transition from your old forecasting process?

We run in parallel for 1-2 cycles before switching. You compare new forecasts to your old process and we calibrate based on what you learn. This reduces switch risk and builds your team's confidence in the new approach.

Can you expand to other products later?

Absolutely. Start with your most volatile or complex SKUs to prove the model. Once you've embedded the process, we expand to the full range. Each addition takes 1-2 weeks of setup.

Ready to improve demand visibility?

Start with a diagnostic. We analyze your current forecasting process, your data quality, and your demand patterns. No cost. No commitment. Then we show you where the biggest opportunities are.

Book a consultation

hello@williams.supply

Forecasts you canactually use