AoFrio Launches AI Tool for Cooler Fleet Management
The new Ask iQ feature allows fleet managers to query cooler telemetry data using plain language prompts.
Updated on Oct. 21, 2026 in Artificial Intelligence
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AoFrio has introduced Ask iQ, an artificial intelligence tool designed to simplify how fleet managers interact with their commercial refrigeration data. The software integrates with the SCS 800 hardware controller to provide insights from over 3.7 million connected coolers worldwide.
Why it matters
This feature streamlines asset management by enabling users to extract specific fleet information without the need for manual report building or complex dashboard navigation. By turning raw telemetry into practical prompts, the company aims to improve operational efficiency for beverage brands.
The platform analyzes telemetry captured by the SCS 800 controller across more than 3.7 million connected coolers. Thirty customers across Latin America, North America, Europe, and the APAC region participated in the early pilot programs.
The players
AoFrio
This New Zealand-based company specializes in commercial refrigeration and Internet of Things solutions for the beverage industry.
The details
The new tool utilizes a custom interface to process fleet-specific data, allowing managers to ask questions directly about their equipment performance. This launch follows over 20 years of experience in commercial refrigeration and 14 years of developing Internet of Things technology.
Timeline
Between October 21, 2025, and October 21, 2026, AoFrio worked with partners to refine the software.
AoFrio officially launched the Ask iQ feature on October 21, 2026.
Beverage brands expressed interest in trialling predictive maintenance throughout 2026 and 2027.
The Tech Race
The integration of Ask iQ with the SCS 800 hardware controller follows a broader industry trend of layering generative AI on top of existing proprietary IoT sensor networks. This move replaces manual data visualization methods with natural language processing to accelerate decision-making for cold-chain operators.
Fleet managers can now bypass complex manual data reporting to retrieve equipment insights instantly through natural language queries. This capability significantly reduces the time required to monitor maintenance needs and operational status across large-scale beverage cooler fleets.
The takeaway
The move toward conversational AI in fleet management signals a shift toward more accessible data analysis for industrial equipment operators. Companies looking to implement these tools should prioritize pilot programs to assess how predictive maintenance prompts fit into their specific supply chain workflows.
Further reading
For more developments in this field, visit our Artificial Intelligence section.
Source note: This article includes information reported by eCommerceNews Australia.
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