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.
Most ecommerce chatbots are wired to one platform. Switch stores and you lose months of trained knowledge, conversation history, and human-feedback corrections. Alhena AI's three-layer architecture separates the Brain from the Data Source, so your AI investment survives any migration.
A size chart is a dictionary. A fit analyzer is a translator. See how Alhena's Sizing Assistant Agent interviews shoppers and delivers definitive size recommendations, reducing returns 2-7x more than static charts.
Gift card balances, store credit, and promo codes are where ecommerce AI builds or breaks trust. This post covers what AI needs to get right with payment handling, and the intentional boundary where it should stop.
Most AI support platforms talk about what their bot can do. Alhena is engineered so that seven specific ticket categories never auto-resolve end-to-end, protected by a 10-layer gating architecture.
Yuma AI excels at support automation with 89% ticket deflection rates. Alhena AI focuses on revenue attribution, driving 3x conversions and 38% AOV uplift. Compare both platforms across features, pricing, integrations, and real-world case studies.
Traditional APM wasn't built for non-deterministic AI pipelines. Alhena runs dual tracing (Opik for AI, OpenTelemetry for infrastructure), captures 13 timing measurements per message, and uses a ConversationDebuggerAgent to explain why the bot said what it said.