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The AI chatbot that closes sales. Recommends from your catalog, answers from your pages, handles objections, in 65+ languages. Live chat your team can step into. Plugins for WooCommerce, Magento, PrestaShop, Drupal, Sylius, Shopware.

Which is more popular?
Based on our record, Emporiqa seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | javascripting.com | emporiqa.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Bulgaria · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of JavaScripting yet.
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...
What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


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AI chatbot for e-commerce: from question to cart in 31 seconds | Emporiqa
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing JavaScripting and Emporiqa.
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:
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.
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 matches the shopper's question against vector embeddings of your catalog, reranks with a cross-encoder, and rephrases the question only when nothing matches. It handles both natural-language questions and exact part-number lookups. Same salesperson behavior across 65+ languages without a translation layer.
Share your experience with using JavaScripting and Emporiqa. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking JavaScripting since Mar 2021.
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 / 7 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... - Source: dev.to / 7 months ago
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