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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.
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.
Generic AI chatbots give the same response regardless of channel, time, or customer context. This guide covers the trigger-action guideline system that lets ecommerce brands control exactly how their AI behaves on Instagram, email, WhatsApp, and web chat without retraining the model.
Most ecommerce AI sounds the same: polite, helpful, and characterless. The three-element framework of Identity, Tone, and Situational Guidelines turns a generic chatbot into one that sounds like your brand.
The first 30 days after deploying an AI shopping assistant are the highest-leverage tuning window you'll ever get. This week-by-week playbook covers exactly what to monitor, correct, refine, and optimize so your AI reaches 80%+ automation instead of plateauing at 50%.
Most Slack bots are notification pipes or keyword matchers. Alhena AI runs two modes in Slack: channel integration for B2B customer support in shared channels, and a standalone app for internal HR, IT, and operations help desks with threaded multi-turn conversations and real-time streaming.