Emporiqa
Intercom
Caretta Assistant
Dialogflow
Chatscout by Zevi
Chaport Live Chat
Laxi.ai
Crisp Chat
s3-lambda
Emporiqa is the AI chatbot that closes sales. A shopper asks "dog food for a senior lab with joint problems, grain-free, under 40" and your search bar returns every dog food you sell. The right product is there; the search just can't find it.
Emporiqa acts like an online salesperson for your store. It reads your catalog and does what a floor rep does: recommends the right product, handles objections on price or fit, suggests variations when the shopper hesitates, and walks them to checkout from the chat. It also answers shipping, return, and payment questions from your own store pages.
Product answers come from your catalog, policy answers from your own pages. Ask it for something your store doesn't sell and it says so, then shows what you do carry. Every conversation is saved and reviewable on your dashboard.
You can step into any live conversation, not only the ones that asked for help. The chat holds back while one of you is in there, and teammates can put their own name on their replies. Alerts land in Slack, Microsoft Teams, Discord, Google Chat or email on the hours you set; outside them the chatbot keeps helping and takes an email or phone number. Every team member is included, with no per-seat fee.
A dashboard showing which chats led to purchases, the conversion funnel, and satisfaction ratings.
65+ languages. Start free with $25 of signup credit (~100 conversations), no card needed. You pay only when the chat talks to a shopper. If it never talks to a shopper, you never pay. EU company, GDPR, no model training on your data.
Native plugins for WooCommerce (WordPress), Magento 2, PrestaShop, Drupal Commerce and Sylius, plus Shopware 6 via Composer and GitHub.
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Emporiqa's answer
Online store owners and e-commerce agencies running Drupal Commerce, Magento 2, PrestaShop, Sylius, Shopware, or WooCommerce. Mid-size to large catalogs (2,000 to 100,000 products) where keyword search stops working and shoppers need a salesperson.
Emporiqa's answer
It's the AI chatbot that closes sales. It behaves like an online salesperson: recommends a specific product from your catalog, handles objections on price and fit, suggests variations, and walks shoppers to checkout. Not a FAQ bot that deflects. Ask it for a product your store doesn't sell and it says so, then shows what you do carry. Search expands the shopper's question with a language model, matches it against vector embeddings of your catalog, then reranks with a cross-encoder, handling both natural-language questions and exact part-number lookups. Same salesperson behavior across 65+ languages without a translation layer.
Emporiqa's answer
Pay-as-you-go: $0/month base + $0.25 per conversation, with $25 of signup credit (~100 conversations) and a $59/month default cap you can adjust. A conversation counts only when a shopper writes to the chat, so you pay only when the chat talks to a shopper. If it never talks to a shopper, you never pay. Unlimited team members on every account. Native plugins for six e-commerce platforms: WooCommerce (WordPress), Magento, PrestaShop, Drupal Commerce, Sylius, and Shopware 6 (Composer/GitHub), plus a webhook API for anything else. And the chatbot closes sales: it names a product from your catalog, handles the objection, and adds it to the cart.
Emporiqa's answer
For over 15 years I built software, first as an engineer and then as a CTO, and I kept running into the same gap with online stores. Walk into a physical shop and a good salesperson knows the products and helps you choose. Online, the shopper is alone with a search box that returns 200 results or none. I built Emporiqa to put that salesperson on the website. Ask it for a product you don't sell and it says so, then shows what you do carry, instead of inventing one or quoting a price you don't have. It recommends the right item, handles the objections that stall a sale, and walks the shopper to checkout. It also shows which chats turned into orders, so you can watch it earn its keep.
Emporiqa's answer
Django, LangGraph, Qdrant (vector database), PostgreSQL, Redis, Celery. Search embeds the catalog with OpenAI text-embedding-3-small, matches it in Qdrant, then reranks the shortlist with Cohere rerank-v3.5 through OpenRouter. Qdrant is the open-source build, running on our own infrastructure.
Based on our record, Emporiqa seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I built Emporiqa, a chat assistant for e-commerce stores. After shipping integrations for Drupal Commerce, WooCommerce, and Sylius, Magento was next. The catalog complexity made it the most interesting one to build. - Source: dev.to / 5 months ago
I wrote about the hybrid search pipeline, the sync architecture, and the parallel agent system separately. This post is about how they connect. The WooCommerce plugin is live on wordpress.org. I covered the full WooCommerce integration on the Emporiqa blog, and the setup docs walk through the configuration step by step. You can test the pipeline end-to-end with a free sandbox at Emporiqa. - Source: dev.to / 5 months ago
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