ACCR

Tupl ACCR reduces the customer service team workload, quickly identifying & resolving end-customer issues by integrating with network and subscriber data.

Tupl ACCR uses all relevant Network and Customer data to find the most likely root cause of the customer problem and provides recommendations in natural language to Customer Service agents and Network Operations & Engineers.

The AI Engine correlates data from multiple sources to automate the detection, troubleshooting and action recommendations for customer incidents.

ACCR SaaS is delivered in cloud service (e.g. AWS, Azure, etc.) and can also be deployed on-premises, in your private cloud or data center.

It is easy and quick to get started, fit for a faster procurement process, with a functional solution in operation within 2-3 weeks.

Monthly subscription. No strings attached. Stop at any time.

The more relevant data sources are used, the higher the accuracy. Our algorithms, verified by our customers' engineers, have reached over 90% accuracy.

Most of the project time is typically spent in arranging access from various sources. The integration and validation of functionality takes only between one and two months. Not your typical telecom timelines...

Yes. In fact, algorithms are designed so that we can use what is available, and additional data sources just increase the granularity of the prescriptive analytics automation. Some data sources are mandatory for obvious reasons, such as: tickets, KPIs, topology data.

ACCR is directly handling technical customer complaints, mainly related to engineering localized issues, which could be related to e.g. the network (e.g. faults, congestion), the location (e.g. coverage) or the handset equipment.