What is the real problem with quotes?
In most companies with any meaningful quoting volume, the same pattern emerges: the knowledge lives with a handful of people. They know which customer gets which discount, which surcharges apply at certain volumes, and which exceptions have been made in the past. That knowledge is not recorded anywhere in a structured way. When one of those people is sick or leaves, things go wrong. And even when they are available, putting together a quote takes too long, the margin for error is too large, and following up on open quotes falls by the wayside. Quote was built for exactly this problem.
What does Bonsai Quote actually do?
Quote combines your pricing structure, customer data, and product configuration in a single system. A staff member selects the customer, enters the requested service or product, and the system composes the quote based on the rules already built in. Think volume discounts, customer-specific agreements, mandatory surcharges, or margin thresholds. The staff member reviews the result, adjusts where needed, and sends the quote. No copy-pasting from three spreadsheets. No checking whether the purchase price is still current. The system also tracks which quotes are still open, so follow-up no longer depends on anyone's personal calendar.
Where do people get stuck during implementation?
The technology is rarely the issue. What takes time is extracting the pricing structure. In many companies, that structure does not exist as a single, clear document: it lives in the heads of three people, in a spreadsheet built four years ago and maintained manually ever since, and in email threads with customers about exceptions. For the implementation, those rules need to be made explicit. That is not pleasant work, but it is also the most valuable part: once that knowledge is on paper, you can actually manage it. Companies that take this process seriously also find they gain a much better grip on their margins.
Which sectors are the best fit for Quote?
Quote works best when quotes are repeatable but not identical. Think transport and logistics, where rates differ per customer and relationship but the underlying structure is comparable. Or trade and wholesale, where the assortment is broad but the pricing logic per product group is fairly fixed. In construction or industry, where every quote is a fully bespoke exercise with shifting inputs from subcontractors and materials, Quote is less suitable. There, the problem starts at calculation, not at presentation.
When is Quote not the right fit?
Being honest about limitations is part of how we work. Quote is not a calculation tool for complex projects. If every quote starts with a blank price build-up involving variable materials, subcontractors, and risk assessments, you do not need a quote generator, you need a calculation system. Quote also does not help when the pricing structure is so diffuse that it cannot be formalised, or when commercial flexibility per quote is so great that fixed rules become an obstacle rather than an aid. In those cases, the more honest advice is: first bring order to the pricing logic, then assess what can be automated.
What does it deliver in practice?
Most of the gain comes from speed and consistency. Quotes that previously took half an hour or more go out the door in a matter of minutes. Errors from manual retyping disappear. Staff with less experience can produce quotes independently without a senior colleague needing to check the work. And because everything is in the system, you can report on it: how many quotes were sent, what is the win rate, which customers have not been followed up in a long time. Most companies did not have those insights before.