Automate data engineering
Keep product, order, event, campaign, CRM, direct mail, inventory, and warehouse workflows fresh with visible dependencies and monitored runs.
Run the commerce workflows behind inventory, activation, and AI
Run the commerce workflows behind inventory, customer activation, recommendations, and AI context.
Mage
I created the retail workflow and prepared it for review.
- sync product, order, event, campaign, CRM, and inventory data
- validate audience rules, stock logic, freshness, and delivery readiness
- publish BI, SFTP, CRM, alert, ticket, API, and product outputs
- register commerce context for recommendations, campaigns, and agents
You can inspect the source graph, checks, approvals, delivery status, and context artifacts before teams, product features, or agents use the output.
Mage helps retail and consumer teams automate ecommerce data, customer activation, stock decisions, and product context across warehouses, APIs, CRMs, SFTPs, dashboards, and agents.
Overview
Modernize retail data workflows from commerce to AI
Mage helps retail and consumer teams automate ecommerce data, customer activation, stock decisions, and product context across warehouses, APIs, CRMs, SFTPs, dashboards, and agents.
Modernize legacy data models
Move segmentation, stock rules, identity logic, outbound exports, waterfall checks, and activation handoffs out of scripts, spreadsheets, and point tools.
Prepare AI-ready context
Build reusable context for recommendation engines, campaign agents, customer segmentation, inventory decisions, product analytics, and support workflows.
Use cases for retail and consumer goods
Each use case starts with work retail teams already run: commerce data that needs modernization, activation that needs governed files, and inventory decisions that need action-ready context.
Commerce warehouse and event modernization
Connect ecommerce data, ad platforms, event streams, dbt models, warehouses, BI, product analytics, recommendation features, and chatbot context.
MySQL, Shopify, Meta, Google Ads, GA, RudderStack, GCS/S3, ClickHouse, Snowflake, and BigQuery feed Mage sync, dbt, validation, and delivery workflows for BI, product analytics, recommendation features, and chatbot context.
Commerce systems
- MySQL orders
- Shopify catalog
- GCS / S3 feeds
Campaign telemetry
- Meta spend
- Google Ads
- GA events
- RudderStack
Warehouse + lake
- ClickHouse
- Snowflake
- BigQuery
Mage WorkflowsFresh retail context as code
SyncdbtValidatePublish
Retail data workflows break where dashboards stop
The workflows break where retail teams already feel the pain: commerce data spans too many systems, activation depends on fragile handoffs, inventory decisions need recurring checks, and AI needs fresh governed context.
Move Stripe customer data into BigQuery every weekday before 8am.
Stripe
Commerce data spans systems. Commerce data spans production databases, ad platforms, events, warehouses, CRMs, product catalogs, inventory feeds, and SFTPs.
Why did revenue freshness drop?
The Stripe ingest arrived 42 minutes late, delaying the customer revenue model.
Stripe ingest delayed 42 min
Decisions need checked workflows. Customer activation and inventory decisions depend on overlap checks, suppression logic, approvals, stock rules, and recurring handoffs.
Customer syncRun delayed
Inspect run
Late source foundRetry availableOpen logs
AI context needs trust. Recommendation engines, campaign agents, segmentation workflows, and inventory decisions need context with freshness, lineage, permissions, and feedback.
Pipeline
Table
Chart
File
AnswerRevenue freshness dropped after the Stripe ingest arrived late.
Outputs must trigger action. BI, product features, SFTP, mailshops, CRMs, alerts, tickets, APIs, and dashboards need governed delivery, not another warehouse-only stop.
One retail workflow becomes governed execution
Mage turns retail and consumer data work into visible dependencies, validation gates, delivery handoffs, and reusable context.
Run our commerce operations workflow. Sync product, order, event, campaign, CRM, and inventory data, validate activation and stock rules, publish handoffs, and prepare context for teams and agents.
The retail workflow is ready to review. I connected commerce sources, added activation and inventory checks, prepared delivery outputs, and registered reusable context.
Customer activity
3open support tickets34 daysto renewal
Ask. Start with the ecommerce refresh, audience export, inventory decision, campaign handoff, or product-context workflow that keeps breaking.
Sequence. Mage sequences production databases, ecommerce platforms, events, ad platforms, warehouses, files, CRMs, and inventory feeds.
Validate. Checks catch stale product data, broken event streams, audience overlap, missing approvals, stock-rule drift, and failed handoffs.
Modernize. Mage moves segmentation, stock rules, identity logic, outbound exports, and customer activation out of brittle scripts and point tools.
Deliver. Operational outputs reach BI, product analytics, SFTP, mailshops, CRMs, alerts, tickets, APIs, dashboards, and recommendation features.
Context. Lineage, segment definitions, SKU rules, approvals, delivery receipts, and feedback loops become context teams and agents can reuse.
What Mage governs across retail workflows
Commerce source orchestration Commerce data spans production databases, Shopify, ad platforms, event streams, object storage, ClickHouse, Snowflake, and BigQuery.
Activation and inventory checks Validate freshness, schemas, dbt models, suppression logic, audience overlap, stock rules, SKU eligibility, and delivery readiness.
Operations modernization Move segmentation, identity, stock, campaign, export, and decision-science logic out of brittle scripts and disconnected tools.
Action surfaces Deliver governed outputs to BI, product analytics, SFTP, mailshops, CRMs, APIs, alerts, tickets, dashboards, and recommendations.
Context registration Register segment definitions, SKU rules, approvals, lineage, delivery receipts, outcomes, and feedback loops as reusable context.
AI-ready commerce context Expose trusted commerce, campaign, customer, product, inventory, and recommendation context to teams, features, and agents.
Start a trial
Talk with Mage about production data workflows, AI-ready context, managed deployments, and security requirements for your team.