Talk to beCloser
Request a quote with the products, services or conditions you need. Talk to the system naturally, just like you would with someone on your team.
beCloser beta
Turn sales chats into dynamic, trackable web quotes ready to send. From any sales channel, beCloser generates branded web quotes using your catalog, pricing, margins, templates and commercial logic.
Product logic
Request a quote with the products, services or conditions you need. Talk to the system naturally, just like you would with someone on your team.
The system works with the products, pricing, margins, templates and commercial rules approved by your company. That way every quote keeps the control, consistency and commercial logic of your organization.
Every request becomes a live, trackable web quote ready to send to the customer on the spot. It is not a PDF lost in an inbox. It is an interactive proposal designed to move the sale forward.
Built alongside real sales teams
Co-developed with CROs and sales leaders from recognized companies.
How it works
Centralize catalog references, pricing rules, margins, financing, installation logic and sales playbooks in one system.
The sales rep explains what the customer needs in natural language: products, quantities, conditions, services, timelines, constraints or any extra detail required to prepare the quote.
beCloser transforms that information into branded web quotes aligned with your company's structure, logic and commercial rules.
Know when the customer opens the quote, which sections receive the most attention and where improvement opportunities appear. Turn analytics into concrete follow-up actions at the right moment and increase the chances of closing.
AI-assisted sales for real commercial teams
beCloser is not trying to replace the sales rep.
It's a layer of assisted commercial orchestration: a conversation comes in, company knowledge is applied and a human-reviewed web quote comes out before being sent to the buyer.
Operating model
beCloser connects the live commercial context of the sales rep with the final quote the customer receives. The conversation activates the system, company knowledge provides the logic and a human validates the result before delivery.
The sales rep explains the customer's needs through WhatsApp, Telegram, Discord or any assisted workflow.
The system works with approved catalogs, pricing rules, margins, FAQs, financing, references and commercial assets.
Information is automatically structured into a branded web quote with scope, pricing, content and next steps.
The sales rep reviews the draft, requests edits if needed and approves the final version before sending it to the buyer.
Why not PDF
PDF: Static attachment with no context
beCloser: Structured web quote
Organize scope, products, pricing, financing and next steps inside a guided buying experience.
PDF: No visibility
beCloser: Trackable engagement
Understand which sections buyers visit, where attention concentrates and when follow-up makes sense.
PDF: Every change means rebuilding the document
beCloser: Update and resend in minutes
When scope changes, the quote can be regenerated and updated without starting from scratch.
Human approval
beCloser is designed to accelerate quote generation without removing human commercial judgment. Every quote can be reviewed, corrected and approved before the buyer ever sees it.
Sales reps keep the relationship, context and final approval.
The company controls the knowledge base, templates and commercial logic.
The buyer receives a polished, validated quote before viewing it.
Beta
FAQ
No. beCloser helps commercial teams move faster from conversation to quote while keeping the relationship and final approval in the hands of the seller.
Teams with complex quoting processes, repeatable commercial logic and enough volume to learn from real buyer engagement.
That's part of the product vision. The first beta is focused on validating quote generation, human approval and engagement signals before expanding the buyer layer further.
Because we first want to validate a concrete capability with real-world data. Performance claims will come later, once the beta generates consistent evidence.