Demand forecasting

Common forecasting challenges include shifting customer demand, seasonality, promotions, supplier delays, poor data quality, limited sales history, market changes and product lifecycle shifts. These factors make it harder to predict what stock you’ll need, when and where.

Demand forecasting predicts what customers are likely to buy by analyzing sales history, trends, seasonality and promotions to improve forecast accuracy. Accurate forecasts help you plan what stock is needed, where and when, so you can reduce stockouts, excess inventory and tied-up cash.

Accurate demand forecasting is the foundation of effective inventory management. It ensures you have sufficient stock to meet customer demand without tying up cash in excess inventory. Demand forecasting tools provide reliable forecasts, so you can improve service levels, minimize stockouts and make better purchasing decisions.  

EazyStock uses historical demand data including lost sales, lead times, supplier details, and current stock levels from your ERP or business system to forecast demand. By combining this data with AI, EazyStock selects the most appropriate forecasting model and algorithm to predict demand more accurately and updates forecasts daily.  

AI and machine-learning algorithms analyze sales history, seasonality, product life cycles and promotions to produce more accurate forecasts than traditional ERP or Excel-based methods. EazyStock automatically adapts to changing demand patterns, improving forecast accuracy and reducing the need for manual calculations.

See how EazyStock uses AI in inventory management.

ERPs and spreadsheets often rely on basic averages or static formulas, which can lead to errors. EazyStock applies statistical forecasting and machine learning to improve accuracy, even for volatile or fast-changing items. This means fewer stockouts, less excess and a more reliable supply. 

EazyStock automatically identifies seasonal demand patterns and adjusts forecasts accordingly. This means you’ll have the right stock in place during peak seasons and avoid excess when demand falls, keeping your supply chain lean and responsive.

See how EazyStock automates seasonal demand forecasting. 

EazyStock lets you incorporate planned promotions into your demand forecasting process. The software adjusts replenishment parameters to account for promotional spikes, ensuring high availability during campaigns without overstocking when the promotion ends.  

See how EazyStock automated sales promotion demand forecasting. 

Yes. EazyStock uses supersession and similar-item forecasting to predict demand for new products without a sales history. By drawing on data from existing or comparable items, it produces accurate forecasts to support smooth product launches. 

Yes. EazyStock supports multi-location demand forecasting, ensuring you have the right products in the right place at the right time. This helps balance stock across your network and improves overall supply chain efficiency. 

Accurate demand forecasting improves visibility of future orders, allowing you to give suppliers more notice and negotiate more favorable terms. With EazyStock, you can share projected demand and order schedules to build stronger supplier relationships and secure a reliable supply. 

There are a number of red flags that you need demand forecasting software for your inventory management including:

• Stockouts – Consistently experiencing stockouts, especially on your best-selling products.
• Excess inventory – A stockpile of excess inventory or continued excess inventory growth is proof of inaccurate forecasts.
• Using spreadsheets – Even with an ERP, many companies still use spreadsheets to manage their forecasts which are time-consuming and quickly outdated.
• Reacting instead of planning – If your purchasing teams are spending time reacting and scrambling to find inventory to cover orders, it’s time to find a solution.
• Demand volatility – Varying supplier lead times and demand volatility make forecasting difficult.
• ERP forecasting – Depending solely on basic ERP forecast capabilities ultimately leads to stocking challenges.
• Poor forecast accuracy – Promotions, seasonality and new product launches are difficult to forecast accurately without a purpose-built inventory optimization solution like EazyStock.