Sales and Demand Forecasting

Informed, data-driven and adaptive. Use market conditions and consumer behavior to build models to forecast your demand and adapt to change.

Accurately predict your sales activity. Use this data to better plan your production, staffing and pricing.

Increase revenue

Avoid shortage by always having your products in stock, thereby increasing client satisfaction.

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Decrease inventory surplus

Avoid overstocking products and wasting valuable warehouse and showroom space.

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Understand buying patterns

What led to particular events? Understand the causes of your consumers behavior.

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Improve pricing strategy

Improve pricing strategy Better demand forecasting will inform you of the impact pricing changes will have.

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Effectively plan budgets

Insights into demand and staffing requirement will optimize your expenses and budgeting.

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Adapt to change

Identify shifting consumer preferences or external factors, like competitor promotions.

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Are you planning your activity based on intuition?

Include seasonality, purchasing frequency, weather, price and market conditions in your forecasts to reliably plan for the future. These insights can even be used to plan for future initiatives like new productions lines or international expansion.

Varying forecasts can help different aspects of your business. Some products may have constant demand, while others, erratic demand. Discover these insights from your existing data.

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Maciej Pondel

Data Science Leader

A graduate of Computer Science at the Faculty of Computer Science and Management of Wroclaw University of Technology. Maciej is also a Doctor of Economics and a lecturer in the Department of Business Intelligence in Management at Wroclaw University of Economics.

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Find out how to automate and improve the effectiveness of sales forecasting in your company. Discover the tools that make your planning process more efficient and accurate. Fill in the contact form.