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Ucell Reduced Operating Costs by 10.6%: How an AI Agent Optimizes Mobile Networks

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ASCN Team
10 July 2026
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Uzbek mobile operator Ucell, in collaboration with Chinese vendor ZTE, successfully implemented an AI agent for dynamic power management of base stations. The result is a 10.6% reduction in overall network energy consumption, which translates to millions of dollars in annual savings for a national operator.

If energy consumption accounts for a significant portion of your operating expenses and you are looking for a way to reduce them, message our manager — he will run a free analysis of your business and niche and show exactly how to get a real business result from an AI agent in your case, not a nice-looking picture. Message the manager

The Problem: High Operating Expenses from Energy Consumption

Energy consumption is one of the largest operating cost items for mobile operators worldwide. Mobile network equipment, especially Radio Access Network (RAN) base stations, consumes a lot of power even when not fully utilized. Running communications hardware at peak capacity around the clock incurs massive utility bills, draining capital from other critical development areas.

Traditional power management approaches often fail to account for dynamic user demand, leading to excessive energy consumption during off-peak periods.

The Solution: AI Agent for Dynamic Power Management

ZTE and Ucell deployed an AI agent that uses predictive algorithms to analyze user demand. The agent forecasts periods of low activity and forces underutilized base station components into low-power sleep modes. Milliseconds before regular traffic patterns resume, the hardware “wakes up,” maintaining the expected quality of service without unnecessarily illuminating the entire grid.

This approach allows infrastructure energy consumption to adapt directly to current usage intensity, which is particularly relevant for telecommunications companies aiming to optimize their total cost of ownership.

The Results: Cost Reduction and Increased Efficiency

  • Energy Savings. An overall reduction in network energy consumption of 10.6%. For a national operator, this means millions of dollars in annual savings.
  • Improved Financial Performance. Direct improvement in margins without consumer price increases or aggressive subscriber acquisition campaigns.
  • Optimized Investments. The ability to build infrastructure that scales its consumption with operational intensity, impacting the financial profile of industrial connectivity investments.
  • Sustainability. Reduced carbon footprint and increased environmental friendliness of operations.

Source: telecomstechnews.com

What This Means for Your Business

The Ucell and ZTE case demonstrates that AI agents can bring significant savings even in capital-intensive and technologically complex industries like telecommunications. If your company has infrastructure with variable loads, an AI agent can:

  • Analyze Real-Time Data. AI continuously learns usage patterns to make optimal decisions.
  • Dynamically Manage Resources. Automatically adjust power, speed, or other parameters for maximum efficiency.
  • Predict Needs. Proactively respond to changes, minimizing risks and maximizing performance.

Want to learn how an AI agent can optimize operating expenses in your company? Message the manager. We will conduct a free analysis of your business and show potential areas for growth and savings.

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Ucell Reduced Operating Costs by 10.6%: How an AI Agent Optimizes Mobile Networks
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