Ashu Dubey is the Co-founder and CEO of Alhena where he is building transformative customer experiences using Agentic AI. Before Alhena, he drove product growth at LinkedIn.
Seventy-two percent of ecommerce sites fail to meet site search expectations, costing US retailers 34 billion annually. This guide breaks down the discovery gap and shows how AI search, conversational chat, and smart recommendations work together to help shoppers find what they want and buy it.
Automated messages make up 2% of ecommerce sends but generate 37% of revenue. The orchestration layer connects your disconnected tools into one revenue flow. Covers behavioral triggers, channel selection, timing rules, and conflict resolution.
B2B buyers expect negotiated pricing, bulk order workflows, and account-level self-service from your ecommerce site. Most AI chatbots were built for simple consumer transactions. Here is how a purpose-built AI B2B ecommerce chatbot bridges the gap across pricing, ordering, and account management.
AI-assisted shoppers convert at 13.8% vs. 3.4% for everyone else. Yet most ecommerce teams never A/B test their chatbot. This guide covers seven high-impact tests, the metrics that matter, and how to avoid the statistical pitfalls unique to conversational AI.
AI recommendation engines are smart but not strategic. Product boosting adds the business layer that turns relevance-based recommendations into revenue-optimized ones, aligning what the AI surfaces with new launches, seasonal pushes, margin targets, and promotional campaigns.
Brands that deploy the same AI behavior across all channels feel off on every channel except the one they tuned for. Channel-scoped guidelines let you configure how your AI communicates on each platform without changing the underlying brand voice.