Operational Inefficiencies

Goals

To identify inefficient business operations that can be fixed with automation. The information will be used to uncover trends in business process automation for a client's pitch.

Early Findings

Cost of Operational Inefficiencies in the U.S.

  • In the U.S., operational inefficiencies end up costing companies 20% to 30% of their revenue.
  • Nearly all types of U.S. companies suffer from operational inefficiencies.
  • Manual and repetitive tasks such as data search, data entry, data processing and consolidation result in high costs for businesses, representing up to 19 working days per year per employee, on average.
  • 90% of U.S. workers see their productivity affected because of these manual tasks.

Industries Most Suffering from Inefficiencies

  • In the U.S., nearly a third of companies in the Transportation and Logistics industry rely on manual steps in more than half their processes.
  • In the Manufacturing industry, 50% of companies use manual processes essentially to monitor changes, exceptions, and disruptions to their supply chain and plan activity.
  • 34% of organizations in Financial Services still rely on manual processes.

Examples of Inefficient Tasks at Work

  • An example of an inefficient task at work is the manual entry of accounting information which is time-consuming and increases the risk of making errors that can be costly.
  • Another example is the manual migration of data from a system or software to another. This task is time-consuming and can generate costly mistakes and delays.
  • Reporting is another time-consuming and inefficient operational task that takes time and generate 10% of errors on average.
  • The reception of web forms and their manual input into a company CRM slows down the business process to get back to the client.
  • Other examples of inefficient tasks include communication tracking, lead scoring, data gathering and appointment scheduling.

In addition to this public search, we scanned our proprietary research database of over 1 million sources and were unable to find any specific research reports that address your goals.

Proposed next steps:

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