Retail & CPG

Recommendation engines tracking cart abandonment, purchase behavior, and cross-selling opportunities.

Where we help

A single customer view across every channel

Unified customer records across e-commerce, in-store, and loyalty systems
Recommendation and cross-sell engines built on governed data
Cart-abandonment and purchase-behavior analytics
MDM to eliminate duplicate customer and product records

How we work

Duplicate records quietly break personalization

Retail and CPG customer data typically lives fragmented across e-commerce, POS, and loyalty platforms, creating duplicate records that undermine personalization and cross-sell accuracy. We connect these systems through Salesforce Data 360 and Informatica MDM so recommendation engines work from one clean customer record.

See how we've done this for other industries →

Proof, not promises

Retail & CPG case studies

Unblocking a Tier 1 Retailer's Big Data Engineering Upgrade and Cloud Cost

aiDataWorks upgraded the platform to unblock the migration and redesigned the AWS architecture to cut ongoing infrastructure spend.

Read case study →

Let's build your AI-ready data foundation.

Schedule a Meeting

Or email sam.singh@aidata.works