Growth at Alhena | Bringing ideas to life. Turning insights into stories.
Algorithmic pricing delivers margin gains, but 68% of consumers feel exploited by the practice. This guide shows how a conversational AI layer closes the trust gap between your pricing engine and your customers, turning price changes into purchasing confidence.
Seven in ten apparel returns are fit issues. Up to 60% of beauty returns stem from wrong shade or regimen mismatches. AI skin analyzers and fit analyzers solve both by matching shoppers to the right products before the order is placed.
Global ecommerce fraud exceeds 8 billion annually, but false declines from aggressive fraud rules cost merchants 43 billion. AI fraud detection resolves this paradox by scoring risk in real time. Learn where AI customer support fits in a modern fraud prevention stack.
Fitment errors cause up to 86% of auto parts returns. Conversational AI replaces rigid YMM dropdowns with natural language fitment verification, VIN-based lookup, and verified cross-sell that cuts returns 20-30% while boosting conversion to 3.53%.
Most ecommerce brands test AI agents informally and produce unreliable data. This guide shows CX teams exactly how to set up a controlled traffic split test comparing AI and human agents, what metrics to measure, and how to analyze results for a defensible AI business case.
Five catalog change events and a 30-minute weekly cadence that keeps your ecommerce AI accurate. The operational playbook for CX and ops teams using Alhena AI.