RFQs pile up.
Price requests arrive by email and WhatsApp and get answered hours or days later. Some disappear along the way.
Services
You should not have to choose between answering RFQs quickly and having a website that produces inquiries. Both can run at the same time. I own the strategy, engineering, SEO, and servers — you focus on running the business.
Diagnosis
Price requests arrive by email and WhatsApp and get answered hours or days later. Some disappear along the way.
The quote goes out, then silence. No one makes sure it gets followed up.
Buyers search for specs on Google, ChatGPT, or Gemini, and competitors or other resellers show up instead.
The catalog is there, but inquiries are few and low quality.
Even one of these is reason enough for an Initial Audit.
Market Shift
More and more buyers start supplier research in an AI chatbot, not only on Google, and often have a shortlist before they talk to sales. Suppliers whose specs and proof are clearly written on the web make that list. The rest are invisible. At the same time, companies now expect AI that is measurable and connected to core processes, not just experiments.
Entry Point
I map three things: how your RFQs flow from arrival to quote (and where they leak), how visible your products are on Google and AI search (how many real buyer questions you answer), and where your website loses inquiries. You get a written report with priorities, cost estimates, and ROI per track. Not a pitch — numbers.
What you get:
4 Service Tracks
Sales and admin teams drowning in RFQs, email, and WhatsApp.
Quotes go out faster, follow-ups don’t slip, and your team focuses on negotiation.
Companies whose technical catalog is hard to find.
Buyers find you before they contact your competitors.
Companies whose website is just a brochure, slow, or often down.
A website that produces qualified inquiries, on infrastructure that is stable and monitored.
Requirements that fit no package, where you already have the specification.
An application that follows how you work, built from a specification you wrote yourself.
Process
Read the flow, data, and visibility.
You receive: Findings and priorities.
Roadmap, architecture, and estimates.
You receive: A work plan with cost and time estimates.
Phased releases with regular demos.
You receive: A working system with every release.
Monitoring and monthly reports.
You receive: The same numbers that were promised at the start.
Why Me
Since 2017 I have worked inside an industrial equipment distributor, so I understand RFQs, technical catalogs, and B2B sales from the inside. From that experience I built Genesa, an AI platform for the RFQ-to-quote flow, and Tanimur, computer-vision AI for agriculture. One person owning strategy, engineering, SEO, and infrastructure means no responsibility falls between vendors.
FAQ
We start with one flow: an RFQ arrives by email or WhatsApp, AI reads it and matches it to your catalog, drafts the quote, a person approves it, and the quote is sent and followed up automatically. We measure the first flow before expanding.
Usually yes, through APIs, data import, or connectors. We check feasibility in the Initial Audit.
SEO and AI visibility usually take a few months, and we measure against the baseline recorded during the audit.
It depends on scope. After the audit you receive a written estimate for each track before deciding to continue.
Yes. A correct technical structure and spec content from day one actually speeds things up. Results still take time, and we measure along the way.
Not to get started. I look after the systems and infrastructure. You only need to name one business owner on your side.
My focus is technical distributors and industrial B2B companies. Smaller businesses with similar problems can start with the Initial Audit. If it isn’t a fit, I’ll say so plainly.
Tell me how your RFQs and website work today. I’ll show you where the biggest opportunity is.