Things I help my customer with:
Forecasting Potential Evaluation
Understand how forecastable your business really is.
By analyzing demand patterns, data quality, and forecasting drivers, you gain a clear view of where better forecasting can reduce inventory, improve service levels, and create measurable business value.
Demand Forecast Pilot
Validate the impact before making a larger investment.
A pilot forecast on a representative sample of products provides tangible evidence of achievable accuracy improvements, helping you quantify potential savings and operational benefits with minimal risk.
Demand Forecasting Project
Build a forecasting capability tailored to your business.
Multiple forecasting approaches are evaluated across your portfolio to identify the most accurate solution for each demand segment, resulting in a validated forecasting setup that improves planning confidence and decision-making.
Forecast Solution Deployment
Put forecasting into production.
The validated forecasting solution is seamlessly integrated into your existing systems, enabling teams to access reliable forecasts directly within their planning, reporting, and operational workflows.
Forecasting Process Automation & Inventory Optimization
Turn accurate forecasts into lasting business results.
Automated forecast generation, monitoring, and inventory optimization help reduce excess stock, free up working capital, and maintain target service levels as demand evolves.
Model Maintenance & Continuous Improvement
Keep your forecasting performance strong over time.
Ongoing monitoring, model enhancements, and adaptation to changing demand patterns ensure your forecasting solution continues to deliver value as your business grows and evolves.
Helping Manufacturers Reduce Inventory and Improve Forecast Accuracy
I am Andreas Braun, a Data Scientist with 12 years of experience applying AI and machine learning to real-world forecasting challenges.
My focus is helping manufacturers build forecasting capabilities that increase planning reliability, free up working capital, and support better supply chain decisions.
- Forecasting of financial markets as Investment Strategist at Credit Suisse (2 years)
- Forecasting of Real Estate Prices at immosparrow.ch (2 years)
- Data Science Consultant at Amazon Web Services (7 years)
- 30+ AI projects delivered, From pilot projects to production-grade forecasting systems
Andreas Braun, Forecasting Expert, AI/ML expert, EX-AWS
How we do it
Better forecasts. Lower inventory. Higher service levels. More confident planning decisions.
1: Understand Your Demand
We start by analyzing your demand history, data quality, and product portfolio.
This helps identify demand patterns, forecasting opportunities, and the factors that drive forecast accuracy.
2: Validate the Business Case
Before committing to a full implementation, we test forecasting models on a representative sample of products.
This provides evidence of potential improvements in forecast accuracy, inventory levels, and planning performance.
3: Build the Best Forecasting Solution
Multiple forecasting approaches are evaluated across your data.
The best model is selected for each demand segment, ensuring your forecasting setup is tailored to the realities of your business.
4: Deploy into Your Operations
The validated solution is integrated into your existing systems through APIs, cloud infrastructure, or on-premises environments, making forecasts available where planning decisions are made.
5. Automate and Scale
Forecasts are generated automatically as new data becomes available.
Monitoring, governance, and inventory optimization processes help maintain accuracy while reducing manual effort.
6. Improve Continuously
As products, markets, and demand patterns evolve, models are reviewed and enhanced to ensure forecasting remains a competitive advantage over the long term.
Clients I've Worked With
30+ AI/ML projects delivered, From pilot projects to production-grade forecasting systems
Stock Market Forecast
Bank, Switzerland
Built a multi-market, cross-asset forecasting system for emerging markets, leveraging capital flow, volatility, and market data to generate predictive investment signals and identify market opportunities.
House Price Forecast
real estate technology startup, Switzerland
Built a predictive real estate analytics solution using property listing data from online marketplaces.
Enhanced the model with geographic and market intelligence data to forecast property values, identify investment opportunities, and support data-driven real estate decisions.
Intermitted Demand Forecasting
global manufacturing company, Switzerland
Designed a demand forecasting system for spare parts with intermittent demand, enabling more accurate inventory planning at the SKU level, reducing stockholding risk, improving parts availability, and helping free up working capital without compromising service levels.
Frequently Asked Questions (FAQ)
How long does a typical project take?
What does a typical project look like?
Do I need to have my data ready?
What results can I expect?
Do you build proofs of concept or production systems?
What technologies do you work with?
Can you integrate with our existing systems?
How much does a project cost?
How do you handle data security and confidentiality?
What happens after delivery?
Have you delivered projects like this before?
What if I'm not sure where forecasting can help my business?
Better forecasts. Lower inventory. More free cash.