This is like having an AI assistant that reads every single customer review in your online store, understands if people are happy, angry, or confused, and then hands you a simple summary of what’s going well and what needs fixing.
Manually reading and interpreting thousands of product reviews is slow, inconsistent, and expensive, which delays response to customer pain points and missed product or UX issues.
Hybrid
Vector Search
Medium (Integration logic)
Inference latency and cost when performing sentiment analysis on very large volumes of reviews in peak periods
Early Majority
Specialization in e-commerce product reviews rather than generic sentiment across all domains, likely including domain-specific aspects such as aspect-based sentiment (pricing, shipping, quality) and aggregation into business-friendly dashboards and alerts.