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TrueStock Takes the Uncertainty out of Demand Forecasting

Forecasting future sales can play a major role in an e-Commerce businesses success. Stores capture large amounts of data including historical sales and pricing history. To achieve more accurate forecast predictions, this data and a wider range of other demand impacting factors including seasonality, the weather, events, marketing activities and promotional periods are considered during the forecasting process.

• 120-day forecasts show sales, revenue, and profit predictions
• Every forecast horizon provides daily lower, middle, and upper estimates
• Automated daily syncing ensuring data is ready when needed
• Generate forecasts in as little as 15 minutes after implementation

Optimise Demand Planning and Replenishment with a Truer Forecast

The automated replenishment system will let you know about future inventory requirements. eCommerce stores can ensure their customers receive products when and how they want them gaining their loyalty with satisfactory order fulfilment.

• Automated monitoring and notifications with replenishment quantities and costs
• Receive notifications when inventory needs replaced, hits low or buffer stock levels
• Set up customised daily stock monitor alerts including supplier lead times
• View predicted revenue and the costs of missed sales opportunities

Pinpoint Future Marketing Spend and Focus

Within the TrueStock’s machine learning demand forecasting model marketing activities are analyzed and insights provided for use in future marketing campaigns.

• Identification of optimum sales promotion periods
• View ROI insights from different channels and locations

About Us

TrueStock utilizes high-performing machine learning algorithms to predict the volume of products or services to be purchased during a defined future period.

This smart technology incorporates data from a range of internal and external demand drivers that impact future forecasting. Replacing traditional sales forecasting methods, it has been proven that machine learning techniques can improve forecast accuracy especially over time.

Shopify stores can leverage data science and predictive analytics to create sales forecasts that are more accurate than ever.