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AI agents bridge search and CRM for proactive customer re-engagement

Researchers have developed a production-deployed framework that uses AI-powered Product Research Agents to bridge search and CRM systems for proactive customer re-engagement. This system identifies users with exploratory purchase intent and low engagement, conducts research using various data sources, and delivers personalized recommendations via WhatsApp. A 23-day production deployment involving approximately 15,000 WhatsApp notifications showed significant improvements in click-through rates compared to traditional campaigns, with evidence of secondary engagement and downstream purchase impact. AI

IMPACT This framework demonstrates a practical application of AI agents for enhancing e-commerce customer journeys and driving sales.

RANK_REASON The cluster describes a research paper detailing a novel framework and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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AI agents bridge search and CRM for proactive customer re-engagement

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mandar Kulkarni, Pooja A., Samir Shah ·

    Bridging Search and CRM: Productionizing AI Product Research Agents for Customer Re-Engagement

    arXiv:2608.18543v1 Announce Type: new Abstract: Modern e-commerce platforms often operate search, recommendation, personalization, and CRM systems independently, limiting opportunities for proactive customer re-engagement. This is particularly challenging for exploratory intents …