The 3ex.net Sales Forecasting Software is an easy-to-use, yet extremely powerful demand forecasting tool, which allows you to create campaigns and promotions and track and measure the success of those activities.
Eradicating the need for complex spreadsheets, the Sales Forecasting Software within 3ex.net has been specifically designed for companies within the Mail Order and eCommerce industries and has been proven to meet the requirements of companies forecasting either Short Term or Long Term Stock requirements.
The Sales Forecasting Software works in tandem with your marketing activities, accumulating the expected sales across all of your promotions and then monitors the actual responses in order to make intelligent adjustments to your purchasing. The forecasted and actual demand forecasts are then used to create purchase orders which can then be used by your purchasing team.
An unlimited number of concurrent campaigns and promotions can be managed by our Sales Forecasting Software at any time. Campaigns are not just limited to online activity either, the 3ex.net system allows for all campaigns including; off-the-page advert, a TV series, a website, a leaflet or any other form of marketing activity.
Once your forecasts have been created, the system is aware of the expected stock demand. Using the current stock level and basic influencers entered into 3ex.net, the system can determine which Purchase Orders need to be created and when.
The forecasting model can be adjusted to suit purchasing for either a long term inventory plan or a more reactive, shorter term forecast where 'just in time' stock is essential. Purchase Proposals will be automatically adjusted by the forecasting system, as actual sales are received, dramatically reducing overstocks and minimising back orders.
3ex.net Sales Forecasting Software and Supply Chain Software adopts a library of forecasting algorithms which are automatically applied to each product:
- Historical model – Uses annual sales history trend for run-rate products
- Transitional model – Constantly adapt sales prediction based on rolling average of sales.
- Promotional model – Develop a ‘bottom up’ prediction from product selections within promotions. Used for new and difficult-to-predict products.
- Forecast adjustments – Create and assign adjustments to ‘smooth’ peaks and troughs caused by unplanned factors.