Electronics is a research-heavy category. Almost nobody buys a laptop, a camera, or a pair of headphones on the first glance. They compare. Which of these two for gaming. What is the battery life. Is this compatible with my older model. Which one is fine for a beginner. In most electronics stores those questions get answered by a spec table the shopper has to decode alone, or they do not get answered at all and the shopper leaves to ask Google.
An AI chatbot that behaves like an online salesperson answers those questions in the shopper's own words, using the specs already in your catalog. Below is what that looks like on an electronics store, on whichever platform you run, and how it stays inside your store's data boundaries.
This is a practical look at how that works in an electronics catalog. For the product overview, see Emporiqa for electronics stores.
The questions electronics shoppers ask
Walk a busy electronics floor and the questions repeat. A good salesperson does not recite a datasheet back at you. They ask what you need it for, then narrow it down. The chat assistant does the same:
- "Which of these two laptops for gaming?" It reads the GPU, RAM, and refresh rate from both product pages and explains which one handles the heavier load, in one short answer.
- "Is this monitor compatible with my console?" It checks the ports and resolution listed in your catalog and gives a yes or no with the reason.
- "What is the battery life on this one?" It pulls the figure straight from the product attributes instead of making the shopper hunt through a spec tab.
- "Which camera for a beginner?" It filters for the simpler models you stock and explains the trade-off against the pricier ones.
Every answer comes from your own product data. The assistant is not inventing specs, it is reading the ones you already published and turning them into a recommendation a person can act on.
Spec comparisons that lead to a recommendation
A spec table makes the shopper do the work. A salesperson does the work for them. When someone is stuck between two products, the assistant lays them side by side in plain language, then says which one fits the use case the shopper described. The shopper does not need to open three tabs and a comparison chart. They ask, they get a recommendation, they add to cart.
Visual search for parts a shopper cannot name
Electronics shoppers often know what a thing looks like but not what it is called. A specific charger. A cable end. A replacement part for a device they own. With visual search, the shopper uploads a photo and the assistant finds the closest match in your catalog. Typing "round black charger with three pins" into a search bar and getting nothing is how that shopper leaves. With visual search, they upload a photo and find the part instead.
Your B2B and wholesale pricing stays private
Plenty of electronics stores run a B2B side: trade pricing, shared catalogs, authenticated SKUs for logged-in resellers. Only public catalog data reaches the assistant. Your B2B prices, customer-group pricing, and login-gated products never enter the conversation. The salesperson works the public storefront the same way a walk-in shopper sees it, and your wholesale terms stay behind login.
Works on your store platform
Emporiqa installs as an official plugin or module, with no developer needed for the basic setup. You install it, click Connect, and it reads your existing catalog, so your products, specs, attributes and prices flow in without extra data entry. It runs on:
The AI model cost is included in the price, so there is no separate provider key to bring or bill. Pick your platform above for version details and the install steps. Emporiqa is an EU company and is GDPR-compliant, does not train on your customer data, and a signed DPA is available.
See it on a live electronics store
Our own demo store is a premium electronics shop, so you can watch this exact behavior live. Ask it to compare two laptops, ask about battery life, upload a photo of a device. It runs in 65+ languages, so a shopper writing in French or German gets the same recommendation in their language. Pricing is pay-as-you-go: $0 per month and $0.25 per conversation, with $25 of signup credit applied at your first store, roughly 100 conversations to test on your own catalog before you spend anything.
Ready to try it? Create a free Emporiqa account and get $25 of signup credit, about 100 conversations, no card required. Or watch the salesperson compare specs and recommend on a live electronics catalog first at demo.emporiqa.com, then connect it to your own store.
More on what this kind of assistant does across any catalog: an AI sales agent for e-commerce.
