Customers saved up to $25 million in 2019 through automation; More than 90% of Tangoe processes now automated
As enterprises continue to face uncertain economic times, Tangoe announced it has invested in and bolstered its automation capabilities to help deliver more cost savings for customers. Tangoe, one complete solution for order, invoice, inventory and expense management across telecom, mobile and cloud environments, introduced new robotic process automation (RPA) capabilities, workflow and business rules engines, artificial intelligence (AI) and APIs deployed across its customer base to help them more effectively execute processes, create efficiencies and find cost savings.
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“Even in a booming economy, enterprises must look for opportunities to create efficiencies and trim unnecessary spending, but it becomes even more critical during times of economic uncertainty”
Automation of expense management takes repeatable and standardized practices and applies machine learning and RPA to create efficiencies and save money. RPA provides end-to-end workflows for all of the common processes Tangoe manages — including downloading and processing invoices, auditing and optimizing expenses, order processing, and updating inventory — while machine learning and AI offer customer support for personalized assistance. Tangoe has automated approximately 90% of its processes on behalf of customers.
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“Even in a booming economy, enterprises must look for opportunities to create efficiencies and trim unnecessary spending, but it becomes even more critical during times of economic uncertainty,” said Brandon Henning, Chief Product Officer at Tangoe. “The average enterprise receives more than 300 invoices each month. Automation is one of the most effective ways for an organization to track down hidden costs and manage expenses. Tangoe — the only provider using RPA, machine learning and AI to deliver service levels beyond customer expectations — is leveraging its resources and innovation to help enterprises regain control of their budgets.”
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