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.
A technical breakdown of how AI chatbots fit into MACH architecture. Covers microservices, API-first, cloud-native, and headless principles for ecommerce engineering teams building composable stacks.
Most AI chatbots silently degrade after launch because nobody built a QA program. This guide covers the Audit-Test-Govern model: team structure, six test categories, quality scoring rubrics, and the governance policies every ecommerce brand needs to keep AI accurate in production.
Most ecommerce brands run one AI for product discovery and another for order support. The gap between these systems, where customer context disappears and contradictory messages erode trust, is where first-time buyers silently decide never to come back.
AI sentiment analysis in ecommerce detects frustration, delight, and purchase intent in real time. Learn how to turn chat emotions into revenue with real-time sentiment detection.
67% of B2B buyers now prefer rep-free buying. AI-powered self-service portals handle reorders in under 60 seconds, cut processing costs by 90%, and free inside sales reps for consultative work. Here is how b2b reorder automation is reshaping account management.
Most ecommerce chatbots were built for monolithic platforms. In a headless composable stack, they break. This architecture guide covers three integration patterns for adding AI chat to decoupled commerce, plus how Alhena AI fits without adding complexity.