
E-commerce demand
Plan the next assortment before bestsellers disappear.
- Target
- Units sold by SKU
- Covariates
- Price · promotion · season
- Impact
- Fewer stockouts and markdowns
Bring operational data into one focused workspace, test the forecast on evidence, and carry a clear result back into the planning conversation.






Bring an export from the ERP system your team already uses into a forecast-ready workbook. The table stays familiar while the forecasting choices become explicit.


Promotion, price, weather, calendar, and operational signals can move a series. TelAIscope helps you see which factors add utility and which only add noise.
TelAIscope tests TSFMs, ML models, statistical models, and simple baselines on a held-out part of your history. You can see which approach actually works for the series in front of you.

The same forecasting workflow can support a planner’s next decision and management’s wider operating goal.

Plan the next assortment before bestsellers disappear.

Turn expected movement into a replenishment signal.

Prepare capacity around changing generation patterns.

Make recurring revenue and budget assumptions easier to review.

Match staffing and resources to expected demand.

Bring known conditions into the next planning cycle.

See the expected path together with its prediction interval, horizon, and model context.
The operational planner starts the forecast, reviews only the relevant exceptions, and shares a result the team can use immediately.
Load the current ERP export and check target, frequency, and horizon.
Focus on wide intervals, sharp changes, and series that need attention.
Adjust replenishment, capacity, or working capital where the evidence points.
Export a PDF with an NLP explanation: why the model forecasted these values and how to improve the forecast further.
Start with one series and see how a more focused workflow feels.