Reference — Interior fit-out manufacturer × Sophia
An internationally renowned German family business manufactures surfaces and fit-out elements for high-end interiors. No two inquiries are alike, and none can be answered from a price list.
Sophia takes over the path from incoming mail to the quote in the ERP. Sales decides, the machine calculates and writes.
Data plate
Customer
Internationally renowned German family business, surfaces and fit-out elements for high-end interiors
Size
Over 100 employees, revenue in the double-digit millions
Market
Project business worldwide: architects, interior contractors, building owners
Production
Made to order and project-specific, plus a product range of its own
Systems
abas ERP, inbox (Microsoft Exchange), document management
< 1 hr
response time — previously 2–3 days
8 of 10
cases without rework
≥ 20 min
saved per case
4,000+
items in the master data
In three lines — where it jammed, what we did, what runs now
Before
Four case types in one inbox, and every inquiry travelled by hand between mail, ERP, sales system and side tables. How to calculate was written down nowhere — it lived in the heads of a few people.
Intervention
Inquiries are recognized, calculated against the live item master and written to abas as opportunity, quote or order.
Now
Inquiries and orders are handled in minutes. Inside sales only decides the exceptions, and the time freed up goes into the customer relationship.
01
Reference 01 — The company
A house that has been building surfaces and fit-out elements for demanding interiors for decades, with deep vertical integration and a lot of craftsmanship. Not from a catalogue: the architect describes what they need and receives a quote for it.
That is exactly the strength of the brand and the burden of inside sales. Every inquiry is a small calculation that starts as a mail and has to end as a quote in the ERP.
02
Reference 02 — Before and now
The story: an inquiry arrives by mail — sometimes in English, sometimes in foreign units, always one of a kind. Whoever wants to answer it reads by hand, jumps between systems and calculates by rules that live in just a few heads. The knowledge was there. It was just never in the system — and that is exactly what every quoting time hinged on.
The attempt before us: a Salesforce rollout — around 500,000 euros and four years, without real success. We came in to rescue exactly that.
Before
Four years of Salesforce rollout without a breakthrough
Every mail read by hand
Back and forth between systems
Calculations only in heads
Translating before calculating
Waiting on a few people
Now
→Every thread is classified on arrival, customer and attachment resolved.
→One case, one path: opportunity, quote and order are created directly in abas.
→The commercial rules live in the platform as versioned, readable logic.
→English and foreign units run along, without an extra step.
→Inside sales approves instead of typing, and inquiries are answered in minutes.
03
Reference 03 — At work
W/01
Every thread is classified on arrival: quote, price inquiry, sample, order. What belongs together stays together.
W/02
Items and prices come from the running ERP, never from a copy. What is not certain arrives as a clarification, never as a guessed price.
W/03
Objects are created where the process expects them, with the company’s fields and conventions. No second system, no re-keying.
W/04
Before every write into the production system there is a stop. Full automation is a customer decision, never a default.
W/05
Own catalogue, own pricing, own shipping, same platform. The result is a ready-to-ship case.
W/06
Where the machine asks back, there is almost always a master data problem behind it. The company cleans up its master data without setting up a project for it.
Results — measured, not claimed
No-touch rate
8 of 10 cases without human intervention
Cycle time
under 1 hour per inquiry — previously 2–3 days
Error rate
0 silent errors — deviations escalate automatically
Completed transactions
Opportunity, quote and order — directly in abas
Relief per case
at least 20 minutes saved
Master data findings resolved
over 300 items corrected
The real win is in none of these lines. It is the time inside sales has again for the customer.
And the freed-up time keeps working: it goes into building the next agents on Sophia — they read signals from the market, customer news and ordering behaviour and turn them into inquiries and orders. More revenue from new and existing customers. Signal-to-Cash →
Measured from the first case, against a shared baseline, reported monthly.