Normalized claim
Quantified impact: 87%
87% of shoppers who used GenAI-powered retail solutions viewed their impact positively
Last evidence check: Jul 22, 2026
Connected Experiences: AI-Powered Customer Engagement in Retail
Use case typeCustomer targetingUpdated Jun 13, 2026
Resulticks launched an AI-powered solution, SHOP, to transform customer engagement in the retail industry by connecting online and offline consumer touchpoints with real-time actionable data. Shoppers have viewed AI solutions in retail positively, and the modular platform consolidates shopper analytics, optimizing personalized interaction across live channels.
- Organization
- Resulticks
- Industry
- Retail
- Location
- Singapore
- Published
- April 2025
Reported outcomes
87%
quantified impactOther quantified impact
Strategic outcomes
Customer experience & trustImproved customer attribution accuracyCustomer experience & trustAutomated personalized interactions at scaleNew product / capabilityUnified data from all touchpointsSpeed & agilityConsolidated shopper analytics faster
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Resulticks
- Provider
- Microsoft
- Maturity
- Scaled Production
- Linked source
- retail.economictimes.indiatimes
Fragmented online and offline customer data made unified engagement difficult Retailers struggled to accurately attribute ROI to specific customer experiences Existing personalization efforts were manual and not scalable Limited ability to analyze real-time customer behavior across all touchpoints Difficulty turning shopper analytics into actionable strategies Launched AI-powered SHOP platform to unify data from all touchpoints Deployed real-time analytics modules to track shopper behavior, foot
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Real-Time Personalized Promotions for Retail Shoppers
- 2Automated Omnichannel Customer Journey Analytics
- 3Predictive Insights for In-Store Conversion Optimization
- Fragmented online and offline customer data made unified engagement difficult
- Retailers struggled to accurately attribute ROI to specific customer experiences
- Existing personalization efforts were manual and not scalable
- Limited ability to analyze real-time customer behavior across all touchpoints
- Difficulty turning shopper analytics into actionable strategies
- Launched AI-powered SHOP platform to unify data from all touchpoints
- Deployed real-time analytics modules to track shopper behavior, foot traffic, and conversions
- Enabled automated, personalized offers and content based on behavioral insights
- Integrated data targeting and technology solutions for enhanced customer acquisition
Technologies
- Improved customer attribution accuracy, enabling better ROI measurement
- 87% of shoppers who used GenAI-powered retail solutions viewed their impact positively
- Enabled retailers to automate and personalize interactions at scale
- Elevated in-store conversion rates through targeted insights
- Consolidated shopper analytics, increasing activation speed
Sources & evidence1
Evidence: High75/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Independent source available
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: News ArticlePublished: Apr 4, 2025Publisher: retail.economictimes.indiatimesEvidence: SecondaryConfidence: Low
AI-generated summary. Verify important details with the linked sources before relying on this case.
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