Matching Vodafone’s global product records with over 85% accuracy
- Customer
- Industry
- Service
- Segment
- Author
- Vodafone
- Telecommunications
- AI & ML
- Enterprise
- Jodie Rhodes
At a glance
Vodafone PLC is a British multinational, serves millions globally with networks, mobile contracts, business accounts, and telecom services.
Challenge
Vodafone’s manual and error-prone invoice reconciliation process was time-consuming and inefficient, hindering their business operations.
Solution
Firemind developed an automated AWS-based system for efficient, accurate invoice data extraction and matching using machine learning.
Services used
- Amazon Textract
- Amazon SageMaker
- Amazon Kinesis
- Amazon DynamoDB
Outcomes
- 95% matching success rate across a range of invoices
- 3-minute average matching time per invoice
Business challenges
Transforming Vodafone's inefficient invoice reconciliation process
Firemind embarked on a proof of value project with the goal of eradicating repetitive work tasks and transforming Vodafone’s invoicing processing system within their business operational model.
Their current system of invoice reconciliation was time consuming, unproductive and led to inefficient practices laboured with human errors and inconsistencies.
What our customers say
Hear directly from those who’ve experienced our services. Discover how we’ve made a difference for our clients.
Jas Moorley
“We have partnered with Firemind on several projects where the use of AWS has been core to the delivery of a solution. The team has always proven to be knowledgeable and adaptable, allowing us to achieve the best possible results in our projects, in a timely and cost effective way.”
Solution
Automating Vodafone's invoice processing with AI and ML
We built a customisable and automated invoice processing system which overlapped our client’s existing reporting workflow relating to finance and invoices. Allowing for a polished and efficient end-to-end view of all the finance information relating to their global services.
We integrated Amazon Textract and Amazon SageMaker to allow text and data extraction from invoices to be fed through a fully trained data model.
Cloud Adoption
Stepping away from internal servers to house data and instead switch to cloud services for faster data processing and management.
Reduced error
From human understanding to ML & AI processes, error rates swiftly reduced and consistent invoice matching rose exponentially.
Free up time
One of the biggest impacts of the solution was freeing up valuable accountancy time for Vodafone employees.
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