The customer asks for a proposal.
Minutes later they have it.

An AI proposal generator in Botseller builds each quote from what your system already holds: the deal parameters and a knowledge base with your catalog, prices and terms. A rep describes what the customer asked for and gets a finished document inside the deal minutes later, not a skeleton to fill in.

The difference from a template document is fundamental. The AI does more than drop in a customer name: it takes current prices from the knowledge base, applies your delivery and payment terms, and assembles the line-up around this request instead of copying an old proposal full of somebody else’s items. When data is missing, the AI asks the rep rather than inventing a number.

The document goes out from the same window where the conversation happened, so speed of reply becomes a sales argument: while a competitor is still formatting a file, your customer is reading your offer. Setup runs without a developer. Available from the Business plan.

A classic proposal is assembled from five sources at once: the price list in one spreadsheet, stock levels with the logistics lead, delivery terms buried in a chat with the boss, the template in a document, the legal details in the CRM. A rep pulls all of it into one file by hand, so even a standard offer takes hours and a complex one stretches across days. Owners say it plainly: a detailed proposal can take weeks to produce.

While the file is being formatted, the customer is not waiting in silence. They sent the request to several suppliers, but the first to reply is usually not the best one, just the fastest. So a slow proposal loses before the prices are compared: the decision is made emotionally before your file is opened. Speed here is not a courtesy, it is a filter.

There is a second cost: copy-paste. A rep takes the last proposal as a base but forgets to change one line, and the customer receives somebody else’s prices or somebody else’s city in their own offer. That mistake costs more than the time it saved: it costs trust. And when the rep leaves, the whole calculation logic they kept in their head walks out with them.

A customer request turns into an offer in minutes: the AI pulls items, prices and terms from the knowledge base, formats the document and drops it into the deal. The rep tweaks the details and hits send instead of building a file from scratch for two hours.

So the daily output is no longer three proposals but as many as there were requests, and quality does not drift: every proposal carries the same current prices and terms from a single source. Copy-paste errors disappear along with the copy-paste.

Most importantly, the calculation logic stops living in one person’s head: it is written into the company knowledge base, so a new hire sends correct proposals in their first week rather than after six months of training.