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Unit-T

Driving efficient smart meter installation with AI

Christophe De Clercq, Chief Project Officer – Smart metering, Unit-T

 

 

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Key statistics

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>98%

first-time-right installations

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x5

installation volume

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-25%

reporting time

 

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We wanted to leverage AI to empower our technicians, certainly not to replace them. For Unit-T, it’s all about finding the optimum blending of humans and technology. We were impressed with the ease of IT implementation from a deployment perspective. Usually, it can take a bit of time to develop a new AI model, but we are able to do it in one week with Deepomatic Lens.

Christophe De Clercq, Chief Project Officer – Smart metering, Unit-T

Requirements

Unit-T faced two critical challenges: technicians’ photos of smart meter installations were often blurry, leading Fluvius to request costly and time-consuming revisit operations (sometimes taking up to two weeks), and only about 15 % of installations were manually quality-checked—leaving the majority unverified. They needed a solution to ensure consistent, high-quality documentation and reduce repeat visits.

Results

By integrating Deepomatic Lens into their FSM app, Unit-T saw a significant increase in the number of compliant operations. Real-time quality control shortened the feedback loop, allowing technicians to correct issues immediately on-site. Over time, technicians also became more proficient at taking clear, accurate pictures, further boosting the efficiency and reliability of smart meter installations.

In August 2025, IQGeo announced the acquisition of Deepomatic. Read the article in full on our news page.

About Unit-T

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Unit-T

part of Solutions 30 group

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1200

Field employees

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8000

customer contacts per day

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