Predict your store demand
Know how much you will sell in the coming days, how much stock to order from your supplier and when to run a promotion without running out of product. Error margins calculated from your own sales, not industry averages.
Only available within Shopify Admin.
Quality Shield
A mathematical system analyses sales data before each projection. If the data is not sufficient, it blocks execution and no credits are spent. Every credit spent produces a result that adds real value.
Green
The system analyses the frequency and stability of sales using mathematical calculations from the logistics industry. When numbers are consistent, the engine detects patterns not visible to the naked eye: weekly cycles, upward or downward trends, and seasonality. It then generates three projection scenarios.
SBC Classification, Syntetos-Boylan-Croston 2005. ADI and CV² metrics on real store data.
Red
The calculations determine there is not enough regularity for the scenarios to provide useful information. The system blocks execution and no credits are spent. As more weeks of sales accumulate, patterns will begin to appear.
Lumpy category in SBC classification. High intermittency and high variability simultaneously.
Grey
Not enough sales history to evaluate. Shows how many days are missing. Once that history accumulates, the traffic light updates automatically.
Minimum required: 2 complete cycles of the prediction horizon.
Yellow
The calculations detect that sales are irregular or infrequent. The engine can work but the gap between conservative and optimistic scenarios will be wide. Knowing the range between worst and best case helps decide how much stock to order.
Erratic or Intermittent category per the SBC standard. Chronos-2 engine with wide confidence intervals.
Blue
Sales are so regular that the average is already a strong planning reference. The system informs and lets the merchant decide: run the projection to see if stability will continue, rise or fall, or save the credit.
Triviality test: standard deviation below 5% over the last 30 days.
Before each prediction, a mathematical analysis system based on supply chain industry protocols examines the sales history. If data quality is insufficient, the system blocks execution and no credits are spent.
How it works
Install the app
From the Shopify App Store in seconds. No technical setup or external integrations.
Connect your sales
The app reads your order history directly from Shopify. No exports or file uploads needed.
Get your projection
Select the period, choose the metric and generate the prediction. Three scenarios with real error margins.
Coming soon
The app will be available on the Shopify App Store shortly.
Coming soon to ShopifyProfessional support included
Every merchant with credits has access to the integrated support system directly from the application.
Create categorised tickets with automatic diagnostics, attach screenshots if needed and receive a response within 24 business hours.
Your enquiry history is saved so you never have to repeat information.
Try Viral by ApisDom
Want to analyse your own data? With Viral you can upload any time series and get predictions with the same ApisDom technology. Social media, offline sales, web traffic.