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Originally published by Capital Business
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business
November 24, 2025
23h ago

Kenya Power rolls out automated meter reading system to curb billing errors

Kenya Power rolls out automated meter reading system to curb billing errors

NAIROBI, Kenya, Nov 24 - Kenya Power has begun rolling out an automated meter-reading system aimed at improving the accuracy and efficiency of its monthly Kenya breaking news | Kenya news today |..

✨ Key Highlights

Kenya Power has launched an automated meter reading system utilizing Optical Character Recognition (OCR) technology to improve billing accuracy and efficiency. This initiative aims to address a long-standing source of customer complaints by minimizing human error associated with manual data entry.

  • The system is being rolled out across all eight operating regions after a six-month pilot in Nairobi.
  • Kenya Power aims to transition 1.8 million postpaid meters to the OCR-based system.
  • Commercial Cycle Manager Richard Wida stated the OCR will "significantly cut the time taken and minimise inaccuracies linked to manual entry."
  • This forms part of Kenya Power's broader digitalisation strategy, which also includes expanding its smart-metering program.

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Part of the Day's Coverage

Kenya Advances SGR Extension and New Meter System Amidst Mau Summit Rd Funding Dispute - November 2025

President William Ruto has announced that the extension of the Standard Gauge Railway (SGR) from Naivasha, Kenya, to Kampala, Uganda, will begin in early 2026. This joint project, which will extend to Rwanda and DR Congo, aims to bolster regional trade. In another development, Kenya Power launched an automated meter reading system using Optical Character Recognition (OCR) technology to improve billing accuracy and efficiency. This initiative is meant to minimize human error from manual data entry. Meanwhile, a legal challenge has emerged over funding for the Rironi–Mau Summit Highway project. An Advocate of the High Court is calling on the Law Society of Kenya (LSK) to stop the government from using Ksh72 billion in pension funds from the National Social Security Fund (NSSF) for the project.

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