AI Streamlines Procurement for Major Telecom Company

A I • Apr 28,2024

A large telecommunications company faced challenges with fragmented data, manual processes, and limited visibility into spending. They implemented an AI-powered spend intelligence platform that cleaned and analyzed data, generating automated cost-saving recommendations and forecasts. This resulted in improved data quality, enhanced analytics, and better collaboration across the company.

Client:

Operating in about 180 countries, BT Group is a multinational telecommunications company with its headquarters in London, United Kingdom. From fixed-line to cloud computing services, a diverse array of products and services is offered to business and consumer customers. BT’s roots run deep in innovation, tracing back to the groundbreaking invention of the telephone in the 1800s. Nowadays, the company invests in research and development to stay at the cutting edge of tech advances in communications.

Problem Statement:

  • Fragmented and Inaccurate Data: BT relied on multiple disconnected systems with incomplete and inaccurate data. This made it difficult to track spending, forecast needs, and gain insights.
  • Manual Processes: Extracting data from various systems was time-consuming and required extensive user training. This slowed down processes and increased the risk of errors.
  • Limited Visibility: Procurement data was siloed within the procurement department, hindering collaboration with other business units.
  • Difficulty in Cost Reduction: Traditional methods made it challenging to identify opportunities for cost savings.

Results:

Cost Reduction:

  • Automated savings identification
  • Reduced procurement support costs
  • Improved visibility and collaboration for cost savings

    • Enhanced Analytics and Forecasting:

  • Automated reports and dashboards
  • Predictive demand forecasting

    • Productivity Gains:

  • Reduced data extraction time
  • Improved communication and collaboration
  • Enhanced data quality

    • AI Solution:

    BT struggled with fragmented and inaccurate data, manual processes, limited visibility, and difficulties in cost reduction. In order to address these challenges, the company implemented Suplari, an AI-powered spend intelligence platform.

    Suplari’s AI capabilities include:

    Data cleansing and normalization: Connecting and normalizing data from disparate systems to ensure accuracy and completeness.

    Automated insights and actions: Analyzing data and automatically generating recommendations for cost reduction and improved cash flow.

    Predictive analytics: Identifying potential savings opportunities that might have gone unnoticed before.

    BT utilized Suplari’s AI in the following ways:

    Streamlining procurement processes: Automating data extraction, analysis, and reporting to reduce manual effort and improve efficiency.

    Enhancing collaboration: Providing transparent and accessible data to foster collaboration between procurement and other business units.

    Identifying cost-saving opportunities: Leveraging AI-powered insights to uncover hidden savings opportunities and optimize spending.

    Predicting future spending trends: Utilizing predictive analytics to anticipate future needs and proactively manage expenses.

    Suplari in Action:

    Suplari Demo for SAP

    References:

    1. BT Transforms Procurement / Case Study

    Industry: Telecommunications

    Vendor: Suplari

    Client: BT Group

    Keywords: AI in Procurement, procurement automatization, predictive analytics, AI in business decision-making

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