How do QSR brands build a single view of the customer across app, drive-thru, delivery, and kiosk?

Summary

• Start by unifying the data. A single customer view begins by bringing app, drive-thru, delivery, and kiosk data onto one governed foundation — the Databricks Data Intelligence Platform, with Delta Lake as a single source of truth for transactional and behavioral data.
• CustomerLake. Databricks' agentic CDP is embedded in the Lakehouse, bringing Customer 360, identity resolution, segmentation, and activation to where governed data and AI already live — without copying customer data into a separate system.
• Identity resolution across channels. Agentic Identity Resolution combines deterministic, probabilistic, and agentic matching to stitch disconnected records — app logins, loyalty IDs, order history — into unified profiles.
• Real-time ingestion. Lakeflow ingests interactions from web, mobile app, in-store, drive-thru, delivery, and kiosk so profiles stay current for personalization and next-best-action.
• Governed and activatable. Unity Catalog governs access, lineage, and privacy across every channel, and Delta Sharing activates trusted profiles to marketing tools without creating new silos.

How do QSR brands build a single view of the customer across app, drive-thru, delivery, and kiosk?

Quick-service restaurant brands collect customer signals in many places at once: a mobile app order, a drive-thru transaction, a third-party delivery order, and a kiosk tap can all belong to the same person, yet they often land in separate systems. Building a single view of the customer means bringing those signals onto one governed foundation, resolving them to a unified profile, and keeping that profile current and safe to use. On Databricks, this is done on the Data Intelligence Platform: all channel data is unified in Delta Lake, identities are resolved into Customer 360 profiles, and Unity Catalog governs how that data is accessed and activated.

Why Databricks for a single view of the customer

• CustomerLake — an agentic CDP in the Lakehouse. CustomerLake brings Customer 360, identity resolution, segmentation, activation, and personalization directly into the governed data and AI foundation, so brands don't have to move or duplicate sensitive customer data into a separate marketing system. Profile Agents help turn raw customer data into business-ready profiles, and Campaign Agents build audiences and recommend next-best actions.
• Agentic Identity Resolution across every channel. Identity resolution combines deterministic, probabilistic, and agentic workflows to unify disconnected records — app accounts, loyalty IDs, order history, delivery and kiosk transactions — into more accurate profiles. Teams can bring existing identity rules, models, and third-party enrichment, while Profile Agents help identify edge cases and improve quality over time.
• A unified foundation on Delta Lake. A complete customer view spans transactions, behavior, loyalty, and operational signals — not marketing data alone. Delta Lake provides ACID-transactional storage for a single source of truth, ingesting transactional and operational data from digital, drive-thru, and delivery operations to power recommendations and personalization.
• Real-time ingestion with Lakeflow. Lakeflow ingests customer interactions from all channels — website, mobile app, store, drive-thru, delivery, and kiosk — and real-time streaming processes them so profiles reflect the latest activity, enabling personalization and next-best-action at the moment of engagement.
• Governance with Unity Catalog. Unity Catalog provides enterprise-grade access controls, audit logs, and data lineage across all channels — essential for managing customer data while maintaining privacy and regulatory compliance.
• Activation with Delta Sharing. Delta Sharing enables secure activation to marketing tools and partners without copying data, so brands can put trusted customer context to work across platforms and channels without creating new silos.
• AI on top of the profile. AI Search powers similarity matching for segmentation and next-best-action, and the Agent Framework lets teams build customer-facing agents grounded in governed customer data.

A practical pattern is to avoid forcing every attribute into one monolithic "customer 360" table; separate-but-governed gold tables with a reconciliation layer are often more maintainable and easier to trust.

Getting started

• Read Introducing CustomerLake, the agentic CDP for the full picture of Customer 360 and identity resolution on the Lakehouse.
• Explore the Databricks Data Intelligence Platform foundation of Delta Lake, Unity Catalog, and Lakeflow.
• Learn how Delta Sharing activates governed profiles to downstream tools.
• See how first-party data powers marketing in The last mile: first-party data for great marketing.

FAQs

What is a single view of the customer?

It is one unified, governed profile per customer that brings together their activity across every channel — for a QSR that means app, drive-thru, delivery, and kiosk — so teams can personalize and act on a complete picture instead of fragmented records.

How does identity resolution stitch channels together?

Agentic Identity Resolution combines deterministic, probabilistic, and agentic matching to link records such as app logins, loyalty IDs, and order history into a single profile, with Profile Agents handling edge cases and improving accuracy over time.

Does the customer data have to leave Databricks?

No. CustomerLake is embedded in the Lakehouse, so Customer 360, segmentation, and activation run where governed data already lives, and Delta Sharing activates profiles to external tools without copying the underlying data.

How is customer data kept governed and private?

Unity Catalog applies access controls, audit logging, and lineage across all channels, providing the governance foundation for privacy and regulatory compliance.