The Trend-Studie Contact Center 2026, a survey of 399 specialists across the German-speaking market, lands on a finding that cuts across most technology debates: skills, data quality and infrastructure are the biggest levers in customer service – and at the same time its biggest bottlenecks. In the same survey, “efficiency gains” as a stated objective reached 75 per cent, the highest value in the entire time series since 2019.
Anyone chasing efficiency eventually arrives at an unglamorous question: when the phone rings, does the service team actually know who is calling – and what was discussed last time?
What goes missing when telephony and customer data stay apart
In many mid-sized service organisations, two worlds run side by side. The phone system knows numbers, queue times and call durations. The CRM knows customers, contracts and cases. The only thing connecting them is the person sitting in between.
The routine follows from that. The call is answered, the name is asked for, typed into a search box. Two records come back, one of them out of date. The customer mentions a complaint from last week – that one came in by email and sits in a colleague’s inbox, and she is off today. The case exists. Just not where it is needed.
This is not a diligence problem on the agent’s side. It is a question of system architecture, and it decides whether AI features will later have anything useful to work with: a suggested reply without customer context is a text snippet, not help.
The cost is measured in seconds – and it adds up
Practical experience from CTI projects puts the time saved by automatically loaded customer context at roughly 15 to 30 seconds per call. That sounds marginal. At 200 contacts a day it amounts to between one and one and a half hours of working time disappearing into lookups – every day, without a single customer issue being resolved by it.
Then there is wrap-up. Where call notes are copied into the CRM by hand, it happens under time pressure: briefly, inconsistently, or not at all. At the next contact that exact information is missing, the customer explains the case a second time – and first contact resolution drops without anyone having done anything wrong.
What an integration actually delivers
Connecting a contact centre to a CRM is not a single feature but a bundle of four building blocks:
- Identification on ringing: the calling number is matched against the database and the right record opens before the agent picks up.
- Cross-channel history: calls, emails, chats, WhatsApp messages and tickets appear in one chronological view, regardless of who handled them.
- Automatic logging: time, duration, outcome and assignment are produced as a by-product rather than as an extra task.
- Transfers that carry context: when a call is passed on, the case travels with it. The customer does not start from scratch.
That is precisely the approach behind myContactCenter: telephony, chat, email, WhatsApp and ticketing come together in one interface, connected to the leading customer system through open interfaces. The point is not to add another tool, but to have one fewer to switch between.
Data quality is a prerequisite, not a by-product
An integration exposes the existing data set – including the uncomfortable parts. Duplicates where the same person is held three times. Extensions that have pointed nowhere since the last migration. Contacts with no link to a company. Skip the clean-up and the rollout feels like a downgrade, because now the wrong record opens automatically.
A lean piece of preparation is enough: merge duplicates, define mandatory fields, name one responsible role per record type. In parallel, settle the data protection questions, because call notes and contact histories are personal data. You need an access concept, a documented purpose limitation and defined retention periods – before the project, not after it.
A realistic starting point for smaller organisations
An integration project does not have to be large to have an effect. This scope has proven itself:
- Start with the channel that carries the most volume – in mid-sized companies usually the phone.
- Designate one system as the leading source. Two equal-ranking data sources create permanent reconciliation work.
- Connect read-only first and only write back after a few weeks. That reveals where matching still fails before errors are written into the database.
- After two months, check three numbers: average handling time, after-call work time and repeat contact rate.
Conclusion
The bottleneck in customer service is rarely where it is assumed to be. It is not the headcount and not the missing AI module, but the seconds between the phone ringing and the context arriving – and the cases that exist but nobody can see. A clean connection between contact centre and customer data is unglamorous, yet it pays off daily and is the precondition for automation later doing more than producing fast standard answers.
Would you like to know how your existing customer data can be connected to myContactCenter? Book a no-obligation consultation through the online calendar at ilogixx.de – we will look at your system landscape together.
