How ProFX uses an AI website advisor for product guidance and lead qualification
ProFX is one of India's leading audio-video and home automation companies, with two decades of experience and a pan-India network of experience centers. Its website advisor, built on Makez.ai, answers product and brand questions around the clock, guides visitors toward the right system, and hands qualified leads and complex queries to a human, in full context.
Audio-video & home automation
Web chat widget on the company site
Experience centers across Bangalore, Mysore, Coimbatore & Kochi
Denon, KEF, JBL, Polk, Sonodyne, Hegel, Revel & more
Every product question was going through the same queue as a serious consultation
Visitors researching a home theatre, a pair of bookshelf speakers, or a full home automation setup had one way to get answers: reach out by phone, WhatsApp, email, or the website contact form, and wait for the sales and support team to respond. That worked fine during business hours and for genuinely complex requirements. It worked less well for the much larger volume of first-line questions, what's the difference between a bookshelf and a tower speaker, what does a specific receiver cost, which brands are carried for home automation, that did not need a person, just an accurate, immediate answer.
Those questions were consuming the same team bandwidth as the high value conversations that actually needed a specialist, and every one of them stopped entirely outside business hours. It's a familiar gap for AV and home automation retailers across India, and one an AI chatbot for home automation in India is specifically suited to close.
A website advisor grounded in ProFX's own catalog, not the open internet
ProFX deployed an AI website advisor on Makez.ai, embedded directly as a web chat widget. Unlike a generic AI chatbot, every answer is grounded strictly in ProFX's own ingested product catalog, specifications, and brand content, the agent does not invent pricing, stock availability, or specifications that are not actually in its knowledge base. Anything outside its confidence or scope, especially pricing negotiations, gets routed straight to a person, the same guardrails and governance model that runs under every Makez.ai agent, built on the same core platform architecture.
Product & brand guidance
An AI product recommendation engine and product advisor in one, comparing specs and fit across every brand in the catalog.
Lead capture on buying intent
Name, contact, and product interest, captured the moment someone is ready to buy.
Human handoff, in context
Complex or pricing queries reach a person with the full conversation already attached.
Content team stays in control
An admin console to add, update, or retire catalog content as it changes.
Real conversations, answered instantly
This is conversational AI for websites built as an AI chatbot with a knowledge base behind it, not a script. Illustrative conversations, restyled here, showing the kind of exchange the advisor handles every day.
A brand and location question, answered without a single phone call, and the follow up already moving toward booking a visit.
- Amplification: 15 channels, up to a 9.4.6 speaker configuration
- Video & audio: 8K Ultra HD, immersive 3D audio, 7 HDMI inputs
- I/O: 5 analogue inputs, phono input, 4 independent subwoofer outputs
Technical specifications and pricing, pulled straight from the verified catalog, not guessed at.
Product interest turns into a qualified lead, name, contact, city, and product, without a form or a phone call.
Genuine AV expertise, not a surface-level answer, the kind of question that used to need a specialist on the phone.
From a visitor's question to a qualified lead
Visitor asks
On the web chat widget, any time, day or night
Grounded answer
Pulled from the verified catalog, never invented
Intent detected
Buying signals trigger lead capture automatically
Handed to the team
Or escalated to a human, with full context, if complex
Every resolved escalation feeds back into the knowledge base, so the same gap does not need explaining twice. The same pattern, capture, understand, decide, act, runs across every Makez.ai agent, not just this one.
Coverage that does not stop when the store closes
This is what AI lead qualification looks like paired with an AI customer engagement platform that actually knows the product line.
- Product questions only answered during business hours
- First-line questions competing for the same team time as real consultations
- Every enquiry starting with a phone call, WhatsApp message, or form
- No structured record of what visitors were actually asking
- Product and brand questions answered instantly, any time
- Buying-intent visitors captured as structured leads automatically
- Complex or pricing questions reach a person, with context already attached
- Common questions and knowledge gaps visible on a dashboard
This reflects what the deployment was built to do. Volume, conversion, and response time figures will be added once a full reporting period is complete.
See how the same platform shows up elsewhere: Orient Exchange's reconciliation story and Rehabmart's automation journey, or browse every customer story.
About AI website advisors
What is an AI website advisor?
A conversational agent embedded on a website that answers product and brand questions, guides visitors toward the right option, and captures contact details when someone shows buying intent, grounded in a business's own catalog rather than generic web knowledge. Searches for an AI website chatbot in India or an AI sales assistant in India usually lead here, since Indian retail and D2C sites face the same after-hours coverage gap ProFX did.
How is this different from a generic AI chatbot?
A generic chatbot answers from general training data and can invent details. A grounded website advisor only answers from a business's verified catalog and specifications, and routes anything it cannot confidently answer, including pricing, to a human, rather than guessing.
Does the AI advisor replace the sales team?
No. It handles repeat first-line questions, specifications, brand comparisons, and store or appointment queries, so the sales team's time goes toward qualified conversations and closing, not answering the same questions over and over.
What happens when the AI advisor cannot answer a question?
The conversation is escalated to a human support agent with the full context already attached, so the visitor never has to repeat themselves, and the resolution is logged back into the knowledge base for next time.
An AI sales assistant that only answers from what's actually true about your business
Whether you need an AI lead generation chatbot in India for a retail catalog or an AI product recommendation chatbot in India for something entirely different, the same engine applies: it answers what it knows, and hands off what it does not. Bring your own product catalog and a handful of real visitor questions, we will show you exactly how it would answer them.