Reference — Building envelope systems manufacturer × Sophia
A German family business manufactures building elements for roof and façade and sells exclusively through specialist dealers. Half the revenue arrives as email.
Half orders, half inquiries, with hard seasonal peaks. Sophia handles both: capture, check against the ERP, write back, reply.
Data plate
Customer
German family business, manufacturer of building elements for roof and façade
Size
Over 100 employees, two production sites
Sales
Exclusively through specialist dealers, strictly dealer-loyal
Production
Made to order, configured by dimension, material, coating and colour
Systems
abas ERP, inbox (Microsoft Exchange, on premise)
< 15 min
response time, even in peak season
9 of 10
orders without manual work
≥ 20 min
saved per case
~6,000
cases a month
In three lines — where it jammed, what we did, what runs now
Before
Dealers order on their own forms. In peak season, response time decides who gets the order — and that is exactly when the queue is longest.
Intervention
Orders are captured and confirmed, inquiries priced and answered, both checked against the ERP.
Now
Orders and inquiries are handled in minutes. Inside sales only decides where it jams — and has time for what wins the order: the dealer on the phone.
01
Reference 01 — The company
The company rolls and folds metal profiles for roof, wall and façade and supplies the whole system around them, from fixings to drainage. Nothing is sold past the dealers — everything is sold through them.
Length, material, thickness, coating, colour: every combination is its own item and its own price. What is flexibility for the customer is a calculation per mail for inside sales.
02
Reference 02 — Before and now
Before
PDF line items retyped
Dozens of Excel sheets and workarounds
Every inside-sales rep doing their own thing
No cross-selling
Signals and leads going unnoticed
Pricing only through a few heads
Blocked items caught late
Backlog in peak season
Second site set up from scratch
Now
→From the dealer form, the order is created in the ERP, line by line.
→The logic from sheets and workarounds lives versioned in the platform — one way, the same for everyone.
→Every case follows the same standard, every decision is traceable.
→Cross-selling becomes a suggestion: matching products come attached to the quote.
→Signals and leads from inbox and ERP land on the table as opportunities — more revenue from the base.
→The company’s price models live in the platform as versioned logic.
→Block flags and impossible combinations surface before the quote.
→Volume is a setting, not a staffing question.
→One setup is carried over to the second entity, never rebuilt.
03
Reference 03 — At work
W/01
Order or inquiry, attachment read, line items extracted, customer resolved against the master. Only then does the right process start.
W/02
From the dealer form, the order is created in the ERP, with resolved item numbers and a checked price. The confirmation goes back as a draft.
W/03
The configuration is resolved. What is ambiguous goes to inside sales as a clarification, never as a guessed price.
W/04
Block flags, missing price lines and impossible combinations are checked before they reach the dealer.
W/05
For every case the extraction sits next to the original document, and before every reply stands a human approval.
W/06
The first use case came from the customer themselves: finding specialist dealers in a postcode area, matched against their own existing customer base.
Results — measured, not claimed
No-touch rate
9 of 10 orders captured without manual work
Cycle time
under 15 minutes, even in peak season — previously up to 2 days
Error rate
0 silent errors — deviations escalate automatically
Completed transactions
~6,000 cases a month — orders and inquiries
Inquiries answered autonomously
around 70 percent
Relief per case
at least 20 minutes saved
The real win is in none of these lines. It is the time inside sales has again for the dealer.
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.