KIBO AI Search helps buyers “Find What They Mean, Not Just What They Type.” The solution delivers intent‑accurate results, reduces “no results” moments, and improves product discovery for both high‑volume B2C and spec‑rich B2B catalogs. It combines vector‑powered retrieval with Gemini‑enhanced semantic understanding, ensuring AI‑driven relevance, inventory‑aware filtering, and hybrid ranking. Trusted to run complex, high‑volume commerce at scale, KIBO AI Search powers intelligent product discovery for brands such as ACE, Vulcan, Nivel, Yamaha, Positec, Omron, and Fortis Life Sciences.

Features

AI Vector Search

• Vector‑powered search enabling look‑alikes, thematic matches, and deep semantic retrieval.
• Supports complex queries and understands product relationships. LLM‑Based Semantic Search (Gemini)
• Uses Gemini semantics to decode natural‑language, attribute‑rich, or constraint‑based queries.
• Understands shopper intent beyond keywords. Hybrid Ranking
• Combines semantic relevance, vector similarity, and business ranking rules.
• Supports promotions, seasonal priorities, margin protection, and custom weighting. Inventory‑Aware Search
• Ensures only in‑stock or fulfillable items are surfaced (if desired).
• Real‑time inventory and fulfillment filters prevent dead ends. Real‑Time Product Discovery
• Surfaces available products dynamically based on stock, constraints, and fulfillment rules.
• Ideal for large B2C catalogs and complex B2B assortments. Built for Merchandising Teams
• Business‑friendly tools offer full control over ranking, promotion boosting, and product prioritization.
• Unified configuration for documentation, tuning, and enablement. B2B Complexity by Design
• Handles spec‑rich products and multi‑attribute search queries common in B2B environments.

Benefits

Improve Product Discovery Accuracy Vector search + LLM semantics deliver intent‑accurate results that keyword search cannot match. Example: Query “waterproof hiking boots under $150” returns relevant, in‑stock products priced under $150, using both semantic relevance and vector similarity. Boost Revenue Through Intelligent Search

• +338% revenue growth over 3 years driven by configurable search.
• +12% YoY revenue lift after boosting high‑priority items.
• +61% avg. items per order via strategic merchandising. Reduce “No Results” Outcomes Real‑time inventory filters, semantic interpretation, and vector matching ensure shoppers always find relevant items. Deliver Faster, Smarter Discovery
• Real‑time, inventory‑aware updates.
• AI‑powered ranking that adapts to seasonality, promotions, and margin goals. Enhance Control and Transparency Merchandising teams can apply rules, understand “why this result,” and tune AI ranking strategies with ease.