We examine your historical demand patterns to establish baseline performance and identify seasonal trends and anomalies.
Industrial distributors often struggle with forecast accuracy due to fundamental limitations in conventional approaches:
Traditional forecasting ignores crucial external influences like economic factors, unemployment, CPI, weather, and sociodemographic changes
Broad forecasts miss critical variations at the product, customer, and regional levels
Standard methods fail to quantify potential fluctuations in demand
Without understanding causal factors, businesses remain trapped in reactive cycles
Disconnected departmental forecasts create conflicting priorities and inefficient resource allocation
For distributors, these limitations directly impact inventory levels, customer fill rates, and financial performance. Deda’s Demand Intelligence solution addresses these challenges head-on. Find out more here.
Our service delivers up to four quarters of forward-looking demand forecast at a product level, using historical demand combined with external factors that impact your business:
Our comprehensive demand intelligence process provides exceptional forecast accuracy through:
We examine your historical demand patterns to establish baseline performance and identify seasonal trends and anomalies.
We test over 4,000 potential external and internal factors to determine which ones significantly influence your demand patterns.
We create customized forecasting models using advanced machine learning techniques and validate them against historical performance
We generate detailed forecasts at the product, customer, and regional levels, providing both expected values and potential volatility ranges.
We continuously track influential factors and update forecasts as conditions change, ensuring ongoing accuracy.
A US-based manufacturer of outdoor living products, including decking, trim, and pergolas faced challenges in accurately forecasting demand for their environmentally sustainable, low-maintenance products.
Deda’s demand intelligence gave us unprecedented visibility into the factors driving our business. We’ve been able to make more informed production and distribution decisions, significantly improving our operational efficiency.
Outdoor Living Products Manufacturer
The company manufactures products for wholesalers and distributors that sell to final customers, leading to difficulty in accurately forecasting demand and gaining insight into external factors impacting sell-through. Traditional methods struggled to predict end-consumer demand effectively.
Our Expert Services teams worked with the customer utilizing our forecasting services. They tested over 4,000 external and internal factors and found that 271 factors had a significant impact on the forecast.
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