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DATABEND SOLUTIONS · INDUSTRY

E-commerce & retail

Connect the journey to the business

Analyze browsing, orders, payments, and inventory together. Refresh shared retail metrics and scale analytical compute around campaigns and everyday demand.

From customer activity to retail insight

Join application events and operational changes into shared customer, order, and inventory models. Checkout remains in your operational systems.

Architecture: From Customer Activity to Retail Analytics

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S3 event files and operational database changes load browsing, order, product, and inventory records into shared tables. Streams and SQL Tasks join business identifiers and refresh retail models for funnel, inventory, and campaign analysis.DATA SOURCESDATA APPLICATIONSBrowsing eventsApp and campaign filesCommerce dataOrders · Products · StockLoad / MySQL syncS3 files + database CDCPreserve source detailsretail_eventsOrder IDs + customer keysEvent JSON + typed fieldsStreamsNew orders and stock changesNew customer activitySQL TasksJoin orders and dimensionsRefresh retail aggregatesretail_modelsJourney + order contextInventory + campaign viewsCheckout funnelsInventory BICampaignsCustomer analysisShared object storage · Incremental SQLWorkload isolation · Auto-suspend

Analyze the customer journey

Connect browsing and purchases to examine funnels, abandonment, and campaign performance.

Bring stock into the picture

Combine inventory changes, demand, and product dimensions in reusable analytical views.

Scale for analytical demand

Give regular BI, campaign analysis, and transformations independent compute resources.

Explore the details

See your retail business clearly

Start with one customer journey and its related order data.

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