Skip to main content
AI Best Practices for CommerceAI Best Practices for Commerce
About
Log in
AI Best Practices for Commerce

Explore

Value ChainsUse CasesAI OverviewImplementationTechnology

Resources

AI ToolsNewsGlossaryAboutContact UsGDPR
|||Sitemap||

We use cookies to keep the site working and, with your consent, to understand how visitors use it (via Google Analytics, a third-party service). You can accept all, reject non-essential cookies, or choose per category. See our .

  1. News
  2. › AI Boosts Retail Conversion Through Personalized Customer Decisioning
  3. › Aug 5, 2026
AI Boosts Retail Conversion Through Personalized Customer DecisioningWednesday, August 5, 2026
  • Consumer Services › Other Personal Services › Pet Care (except Veterinary) Services
CDPDataLoyaltyDatabricksHightouchPetSmartDatabricks · databricksHightouch · hightouchTreats Rewards · petsmart

PetSmart Drives 22% Salon Booking Lift with AI Decisioning

PetSmart used AI-powered decisioning built on Databricks and Hightouch to test thousands of message combinations and boost grooming salon bookings by 22%. For commerce marketers, the case shows how AI can automate campaign optimization at scale while freeing teams to focus on strategy and creative direction.

AI-generated. Summaries are AI-generated from cited sources. Click through for the original report.

PetSmart's marketing team deployed AI-powered decisioning to drive incremental salon bookings across its network of nearly 1,700 grooming locations. The AI engine, built on Databricks and Hightouch, tested thousands of combinations of subject lines, offers, timing and creative to identify which messages resonated most with each pet parent, ultimately delivering a 22% lift in incremental salon bookings (Retail TouchPoints).

The approach reflects a human-AI collaboration model: PetSmart's marketing team sets objectives, guardrails and creative assets, while AI continuously evaluates customer signals in real time and recommends the next best action for each individual customer (Retail TouchPoints). This frees marketers to focus on strategy, analysis and creative thinking rather than manual optimization. For commerce practitioners, the case demonstrates how first-party data—PetSmart leverages more than 80 million Treats Rewards members—combined with predictive modeling enables personalization at scale across owned channels like email, push and SMS (Retail TouchPoints).

Sources:1 report
  • Retail TouchPoints
‹ Newer storyKroger launches AI shopping assistant with ads from day oneOlder story ›Two-thirds of holiday shoppers use AI for gift purchases

More from August 5, 2026

  • Bloomreach's Loomi Agent Automates Multi-Channel Campaign Build
  • Two-thirds of holiday shoppers use AI for gift purchases
  • Kroger launches AI shopping assistant with ads from day one
ShareLast updated: August 5, 2026