from PDF documents
Cost Savings
sourcing intelligence
It creates new options for cost savings that were not possible before. Telco Machine uses a unique system that does what no other can:
Introduce a permanent cost saving function for your client.
Introduce best-in-class expense management reporting.
Easy-to-prove software removes risk.
No more worry about receiving quality datasets for analytics from IT & Telecom invoices.
Receive intelligent recommendations for savings.
Gather relevant, quality data to develop long-term sourcing initiatives.
You can query a complete dataset modelled by Products, Services, Suppliers, Users and more.
Everything from our cost savings module made available to you.
Whether it's negotiating a new deal or migrating telephony to the cloud, you'll find the data inputs required to model the initiative.
Simfoni were rolling out a spend intelligence database for a leading UK manufacturer. Telco remained a highly complex category requiring the support of a Consultancy specialized in Telecom to manage the data and identify savings opportunities.
The end client has offices around the world each using different suppliers with no central data repository. PDF invoices were all that could be provided, further complicated by the fact there were 460 of them with 12 different languages contained. The end client expected savings to be identified, qualified, and delivered within 60 days.
Telco Machine was used to automate data analytics, end-to-end:
The Consultancy was able to manage the relationship with each global office and implement the savings opportunities quickly and with confidence.
The data intelligence generated also shaped the conversation around how to simplify the number of suppliers used while migrating their telephony to a Unified Comms solution, by matching the end clients service data against a database of Unified Comms pricing.
Find out what works best for your business.
85 Great Portland Street, London, UK, W1W 7LT
TMS is an AI company that creates cost savings from Telecom expenses.