Lost leads in DMs — unified, AI-driven cross-channel lead tracking

Many of the estimated 6,000,000 online-selling SMBs lose revenue because prospects increasingly start and continue purchase conversations in platform DMs (Instagram, WhatsApp, LinkedIn) that never flow into CRMs; teams manually copy messages, miss follow-ups, and lack consistent attribution. That creates fragmented analytics, inconsistent customer experiences, and wasted spend for businesses that typically allocate about $6,000 per year to sales and messaging tools. You could build a unified, DM-native lead-tracking layer: a multi-channel inbox that ingests messages via WhatsApp Business API, Instagram Graph and other connectors, uses LLM-based real-time summarization and intent extraction to generate structured lead records and next-action recommendations, scores leads, automates follow-ups and syncs canonical data back to CRMs. Include audit trails, template-driven WhatsApp flows, light-weight team workflows, and an onboarding path designed for SMBs to minimize setup friction. Timing is attractive: the addressable market is roughly $36.0B (6M SMBs × $6k avg spend), platform APIs are maturing, messaging-first commerce is growing, and recent LLM advances make live summarization and intent classification practical and increasingly cost-effective. To stand out, focus on DM-native UX, high-precision models tuned on commerce chats, and channel-specific integrations and partnerships (e.g., Shopify/Instagram) paired with transparent, value-aligned pricing; be candid that platform rate limits, WhatsApp template costs, model accuracy edge cases and privacy/compliance hurdles are real constraints, but measurable early KPIs like reduced response time and recaptured leads can validate product-market fit quickly.