AI-Powered Automated Quoting in Berlin: 2026 Cost & ROI

The verdict in three sentences

A custom AI-assisted quoting engine costs EUR 15,000 to 45,000 net for 6 to 10 weeks of development and cuts the time to draft a quote by a factor of 3. LLM inference stays marginal — roughly EUR 0.01 to 0.03 per quote — compared to the sales-productivity gain. For a Berlin SME producing 30 to 60 quotes a month, payback typically lands under 9 months, with conversion up 8 to 12 %.

What an AI quoting engine actually does

The principle: the AI extracts the requirement (client email, call notes, spec sheet), matches it to your price catalogue and margin rules, then generates a ready-to-send PDF quote. The salesperson reviews and approves instead of typing everything. The technical building blocks vary with the maturity you target.

Most SMEs start with the first three blocks, then add CRM and learning in phase 2.

What it really costs in 2026

The ranges below reflect a vendor day rate of EUR 500 to 700 net in the Berlin region, excluding premium studios. LLM API cost is usage-based and negligible next to the rest.

Realistic entry budget: EUR 15,000 net for a solid connector-free v1, EUR 30,000 to 45,000 net with CRM integration and learning.

Mini case study

Thomas runs an 18-employee carpentry SME in Berlin. His two account managers each spend 7 hours a week on quotes — 14 weekly hours at a loaded cost of EUR 38/h, about EUR 532 per week, or EUR 25,500 a year. With the AI engine, quoting time drops to 2.3 hours per person (factor of 3), freeing ~9.4 hours a week, or EUR 17,800 saved yearly. Add a conversion rate rising from 24 % to 27 % on 50 monthly quotes at a EUR 3,200 average basket: that is ~EUR 57,600 in extra annual revenue. For a EUR 32,000 net investment plus EUR 700/month maintenance, break-even lands in about 6 months.

FAQ

Can the AI get the pricing wrong? Yes, which is why pricing relies on your catalogue and margin rules, not on the model's invention. The salesperson always validates; the observed error rate after tuning stays below 2 % on standard lines.

Do we have to send our prices to a US AI provider? Not necessarily. Sensitive data can stay server-side, sending the LLM only the requirement text, or you can use a Europe-hosted model. GDPR and your confidentiality clauses are respected by design.

How long until it goes live? Expect 6 to 10 weeks for a v1, including 1 to 2 weeks of scoping. A first batch of test quotes runs from week 4 or 5.

What does the LLM API cost each month? For 30 to 60 monthly quotes, the 2026 order of magnitude is EUR 1 to 3/month. The dominant cost stays human maintenance, not inference.

What if our catalogue changes often? Maintenance (EUR 400 to 900/month) exists precisely to keep catalogue, margins and prompts current. A living catalogue is the norm, not the exception.

Let's scope your project. Tell us your monthly quote volume, your current CRM and an indicative budget (EUR 15,000 to 45,000 net): we'll define the v1 scope and timeline. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.