Bloomreach published a detailed ecommerce chatbot evaluation guide that addresses a critical market confusion: most brands evaluate support chatbots and AI shopping agents as interchangeable solutions when they solve fundamentally different problems (Bloomreach Blog). Support chatbots are built to reduce ticket volume through post-purchase automation, while AI shopping agents are designed to increase revenue by replicating in-store sales associate behavior (Bloomreach Blog). The guide identifies this mismatch as a root cause of failed chatbot deployments, where brands pick the wrong tier, deploy it, measure incorrect KPIs, and conclude chatbots don't work.
The framework divides ecommerce chatbots into two tiers: Tier 1 tools (support-focused) and Tier 2 tools (AI shopping agents for conversion) (Bloomreach Blog). Modern AI chatbots use large language models and natural language processing to understand intent rather than keyword matching, enabling them to answer conversational queries like product recommendations for specific use cases (Bloomreach Blog). The guide emphasizes that neither tier is inherently superior—the right choice depends on whether a brand is drowning in support tickets or trying to lift conversion on high-consideration products.
For commerce practitioners evaluating tools, Bloomreach outlines six critical criteria: conversational query understanding, real-time product catalog integration, personalization depth, human handoff capability, analytics and ROI measurement, and platform compatibility (Bloomreach Blog). The guide compares eight tools spanning both tiers, including Tidio, Intercom, Chatfuel, Gorgias, and ManyChat for support workflows, alongside Bloomreach's own Loomi conversational agent for revenue-focused deployment.