# Gengage

> Gengage is the AI-powered agentic commerce platform for enterprise retailers. It deploys intelligent AI shopping assistants that understand natural language, recommend products with precision, and actively close sales through fluid conversation — transforming online shopping from static catalog browsing into dynamic, personalized interactions that drive revenue.

Gengage is built for global enterprise retailers looking to replace traditional chatbots with next-generation conversational commerce. Unlike basic chatbots that deflect tickets, Gengage agents interpret user intent, cross-reference product specifications, source external reviews, and guide customers to the right purchase within a single conversational flow.

- Gengage is not a customer support chatbot — it is an AI sales assistant platform
- The platform integrates with existing e-commerce systems, CRM platforms, and PIM tools
- Enterprise clients include Arçelik, Koçtaş, and other Fortune 500 brands

## Core Capabilities

- [Intent-Based Product Discovery](https://gengage.ai/#capabilities): Translates vague conversational queries like "rainy party speaker" into precise technical specifications (e.g. IPX7 waterproof), eliminating keyword-based search frustration
- [Self-Healing Product Catalog](https://gengage.ai/#capabilities): Automatically identifies and repairs missing product attributes in real-time, ensuring accurate recommendations without manual data entry
- [External Review Sourcing](https://gengage.ai/#capabilities): Sources trusted third-party reviews from platforms like TechRadar and Wirecutter when internal reviews are insufficient, building customer confidence
- [Active Sales Closing](https://gengage.ai/#capabilities): Curates product shortlists, provides transparent comparisons, and delivers clear recommendations — replicating an expert in-store sales associate
- [Intelligent Upselling](https://gengage.ai/#capabilities): Recommends premium alternatives that genuinely benefit the customer, increasing average order value while building brand trust

## Pages

- [Home](https://gengage.ai/): Main landing page with platform overview, capabilities, and social proof
- [About](https://gengage.ai/about): Company information and team
- [Contact](https://gengage.ai/contact): Contact form and demo request
- [Arçelik Case Study](https://gengage.ai/case-study/arcelik): Detailed case study of Gengage deployment with Arçelik

## Blog & Insights

- [Blog Index](https://gengage.ai/blog): Insights on Agentic Commerce, AI Agents, and the future of retail
- [What Is Agentic Commerce?](https://gengage.ai/blog/what-is-agentic-commerce): The Complete Guide for Retailers
- [AI Shopping Assistants vs. Chatbots](https://gengage.ai/blog/ai-shopping-assistants-vs-chatbots): How AI Shopping Assistants Are Replacing Traditional Chatbots
- [Intent-Based Product Discovery](https://gengage.ai/blog/intent-based-product-discovery): How AI Understands What Shoppers Really Want
- [Self-Healing Product Catalog](https://gengage.ai/blog/self-healing-product-catalog): How AI Fixes Your Missing Data
- [AI-Powered Upselling](https://gengage.ai/blog/ai-powered-upselling): How to Increase AOV Without Annoying Customers
- [Agentic Commerce for Electronics](https://gengage.ai/blog/agentic-commerce-electronics): A Retailer's Playbook
- [Agentic Commerce for Home & DIY](https://gengage.ai/blog/agentic-commerce-home-diy): Helping customers tackle projects
- [Agentic Commerce for Fashion](https://gengage.ai/blog/agentic-commerce-fashion): Styling advice at scale
- [Headless Commerce & AI](https://gengage.ai/blog/headless-commerce-ai-agents): Why API-first architecture is critical for AI agent deployment.
- [Reducing Returns with AI](https://gengage.ai/blog/reducing-return-rates-with-ai): Using pre-purchase compatibility checks to slash return rates.
- [Zero-Party Data Strategy](https://gengage.ai/blog/end-of-cookies-zero-party-data): Replacing cookies with conversational preference gathering.
- [B2B AI Automation](https://gengage.ai/blog/ai-for-b2b-ecommerce): Automating complex B2B sales and bulk ordering with agents.
- [Mobile Conversion](https://gengage.ai/blog/optimizing-mobile-conversion): Why chat interfaces outperform filter menus on small screens.
- [Hyper-Personalization 2.0](https://gengage.ai/blog/hyper-personalization-2): Moving beyond "people who bought this" to causal reasoning.
- [Social Commerce](https://gengage.ai/blog/social-commerce-agents): Integrating reviews and social proof into the sales conversation.
- [AI Data Enrichment](https://gengage.ai/blog/legacy-pim-vs-ai-enrichment): Using AI to fix broken product data and attributes automatically.

## Optional

- [Privacy Policy](https://gengage.ai/privacy): Privacy policy
- [Terms of Service](https://gengage.ai/terms): Terms of service