New Features

The new features in the first release of HCL MaxAI Canonical are as follows:

Foundational Data Structures (Retail & Campaign Domain)

This release introduces the baseline data structures required for MaxAI to understand:

• Customer / Party
• Accounts (Savings, Deposits, Credit Cards)
• Products
• Transactions
• Campaigns
• Offers
• Contact activity
• Response behavior

These data structures form the bedrock for all future platform-agnostic MarTech intelligence.

Unified Analytics Layer for MaxAI

The integrated data environment supports:

• Cross-customer behavioral analysis
• Offer and response linking
• Historical trend analysis
• Attribution-ready structures
• Querying across customer and campaign dimensions

This unified analytical layer enables MaxAI to answer questions such as:

• Which customers responded positively to product-related promotions?
• Who is eligible for the next audience segment based on past behavior?
• Which customers or campaigns show declining engagement and require intervention?

Ingestion and Integration Framework

The release includes a multi-layer ingestion and integration design:

1. Landing Layer

   Where raw data is received and standardized.

2. Current Publish Layer (CDC)

   Incremental change tracking for efficient refresh.

3. Integration Layer

   Metadata-driven integration of customer and campaign entities.

4. Analytical Layer

   Structured datasets for MaxAI consumption.

This framework supports plug-and-play onboarding of future MarTech systems without major redesign.

Operational Automation

Airflow orchestration templates automate:

• T+1 ingestion
• Incremental refresh
• Dependency-aware execution
• Data propagation through the integration layer

This ensures predictable, repeatable, and pipeline-driven daily data availability for MaxAI.