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.
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.
When customers ask whether they can combine a promo code with an active sale, the answer depends on discount types, platform rules, and cart contents. AI built for ecommerce resolves these questions in real time by connecting to live catalog data and enforcing configurable stacking rules.
Most e-commerce AI is a black box. Alhena's Conversation Debugger changes that by tracing every AI response back to the exact product data, knowledge base article, or policy document that grounded it. Here's how the three-layer system works.
Dynamic Yield personalizes what shoppers see on a page. Alhena AI talks to them. Compare conversational AI vs page-level personalization across features, ROI, pricing, and real case study results to find the best ecommerce personalization platform for your brand.
The EU AI Act's broadest enforcement wave hits August 2, 2026, covering every ecommerce chatbot serving EU customers. Penalties reach €35M or 7% of global turnover. This guide covers risk classification, the four compliance obligations, and a practical 8-step checklist.
Prompt injection attacks on ecommerce AI surged 540% in 2025. This post maps six real attack types and explains how Alhena's GuardrailAgent uses multi-class classification, silent denial, and fail-secure defaults to stop them.