
Predict sales with confidence. Optimize inventory, promotions, and cash flow using unified data and AI-powered forecasts.



E-commerce Sales Forecasting helps retailers and digital-native brands predict upcoming sales by combining historical orders, web traffic patterns, and product data. With smarter forecasts, operations and planning teams reduce stockouts, avoid costly overstocks, and unlock confident planning. Built for demand planners, supply chain analysts, and e-commerce ops managers—this use case delivers faster, more accurate sales projections and better-informed decisions across your business.
Lagging Demand Signals: Traffic surges, seasonality, or promo uplifts aren’t captured fast enough for agile planning.
Data-driven insights for effective promotional planning.
Siloed, Unreliable Data: Sales, inventory, traffic, and customer data live in different systems—making forecasting error-prone.
Cash Flow Strain from Inventory: Stuck with old stock and markdowns, planning and finance teams can’t confidently manage working capital.
Connect Shopify, Magento, GA4, ERP, and spreadsheets—get started with forecasts in hours, not months.
Launch ML-driven forecasts with prebuilt logic—no data science team required.
Catch spikes, anomalies, and reorder signals instantly—without manually refreshing dashboards.
Plug into your BI, apps, and workflows. No rip-and-replace, just better planning and faster insights.
[stakeholder] Inventory/Demand Planners
[stakeholder] Supply Chain
[stakeholder] Operations
No. Keboola includes prebuilt templates and no-code components for data ingestion, prep, and modeling. Ops and planning teams can run accurate forecasts without writing code.
Keboola turns siloed data into intelligent, automated forecasts—no more manual merging, errors, or lagging reports. You’ll forecast faster, act quicker, and cut hours of spreadsheet work every week.
Not at all. Keboola connects to your existing stack—Shopify, ERPs, GA, CRMs—and feeds results into your BI or ops tools. It’s an enhancement, not a replacement.
AI tools fail when they don’t connect to your real data or respect production workflows.