Copeland Connect+ and Bueno Analytics: The Gateway and the Intelligence Layer
Copeland Connect+ is the world's most widely deployed refrigeration monitoring platform, running across two-thirds of US grocery stores. Bueno Analytics is the intelligence layer that sits on top of it — turning existing Connect+ telemetry into AIM-compliant indirect refrigerant leak detection, fleet-wide analytics, and operational insight. No new hardware. No new sensors. Insight from Day 1.
The Gateway and the Intelligence Layer
Copeland Connect+ does something no other platform in the world can match: it connects directly to Copeland’s E2 and next-generation controllers, giving grocery operators real-time visibility into their refrigeration systems across every store in their fleet. It is the most widely deployed refrigeration monitoring platform in North America, installed across more than two-thirds of US supermarkets.
What Connect+ provides is the data. What it cannot do alone is apply the advanced machine learning needed to distinguish a genuine refrigerant leak from normal system variation — the capability that the AIM Act’s automatic leak detection system requirements demand, and that traditional refrigerant gas sensors fail to deliver reliably at scale.
That is where Bueno Analytics comes in.
Bueno connects directly to the Connect+ data stream and applies a machine learning model trained on real-world refrigeration behaviour across thousands of grocery sites. The model continuously analyses charge behaviour, system pressures, temperatures, and compressor performance — identifying the operational signatures of refrigerant loss before gas sensors would trigger, and before a compliance event becomes a compliance problem.
Together, Connect+ and Bueno deliver something neither achieves alone: a fully integrated, AIM-compliant indirect automatic leak detection system, operating on data you are already collecting, deployable across an entire fleet in weeks.
What Copeland Connect+ Already Does
Copeland Connect+ is a purpose-built refrigeration monitoring and analytics platform from Copeland, designed specifically for the cold chain environment. Across grocery, convenience, and food retail fleets, it delivers:
Real-time visibility into refrigeration system performance across every connected site. Alarm management that reduces false alarms and prioritises the issues that matter. Remote diagnostics that enable teams to triage and resolve issues without an in-store visit. Temperature monitoring that protects food safety and flags excursions before product is lost. Energy performance tracking that identifies inefficiency patterns across the fleet.
For operators already running Connect+, this data is flowing continuously — stored as historical telemetry that represents months or years of refrigeration system behaviour. That history is one of the most valuable and underutilised assets in any grocery network.
What Bueno Analytics Adds
One turnkey AIM-compliant solution.
- Deployed across thousands of sites across North America
- Interrogates Copeland (E2, E3) and other supported controllers
- Built-in energy, advisory, alarm-summary and centralised setpoint management across the fleet
- Connect+ API exposes operational data to Bueno
- ML model trained on your operational data
- Lab-validated indirect leak detection algorithm
- Automated alerts, leak-rate estimation, compliance reports
- Built-in 3-year electronic recordkeeping
buenoanalytics.com — Copeland Connect+ and Bueno Analytics
Bueno’s role is to elevate that data into a layer of intelligence Connect+ was not designed to provide on its own.
AIM-compliant indirect refrigerant leak detection. The AIM Act’s HFC Management Rule requires large commercial refrigeration operators to deploy Automatic Leak Detection Systems that meet specific EPA performance thresholds under 40 CFR §84.108. Bueno’s machine learning model is designed to meet those requirements — identifying leak signatures from existing system data, generating the documented detection and response records the rule demands, and producing the audit-ready reporting that compliance programmes require. Because the model is pre-seeded with historical Connect+ telemetry from Day 1, there is no 30-day blind spot while the system learns. Insight begins immediately.
Earlier detection than gas sensors. Traditional refrigerant sniffers wait until gas has already escaped into the surrounding environment. By that point, refrigerant has been lost, energy efficiency has degraded, and the compliance clock may already be running. Bueno analyses the operational behaviour of the refrigeration system itself — detecting the signatures of charge loss before a gas sensor would trigger. The result is earlier intervention, lower refrigerant losses, and a stronger compliance position.
Fleet-level analytics and prioritisation. Individual site alerts tell you something has changed. Fleet-level analytics tell you which sites need attention most urgently, which are trending toward a compliance threshold, and where the highest-value intervention opportunities sit across your entire portfolio. Bueno’s portfolio dashboards aggregate Connect+ data across every connected store, giving sustainability, operations, and facilities teams a single view of fleet refrigerant health — not a site-by-site alarm list.
Confidence scoring — not just alarms. One of the most persistent problems with refrigerant leak detection is false positives — alerts that send technicians to sites where no leak exists, wasting time and eroding trust in the system. Bueno’s model generates leak probability scores and confidence ratings rather than binary alarms, enabling teams to triage by likelihood and impact rather than responding to every alert at equal priority. Stores with high-confidence, high-probability leak indications get attention first. Low-confidence signals are flagged for monitoring rather than immediate dispatch.
Compliance documentation, automatically. The AIM Act requires operators to document leak detection events, repair timelines, verification testing, and ongoing monitoring — records that must be available for EPA audit at any time. Bueno generates this documentation automatically as part of its standard reporting workflow, removing the manual burden of compliance recordkeeping and ensuring the audit trail exists before it is needed.
Two Paths In
For grocery operators already running Connect+
If your fleet is already on Connect+, the path to AIM-compliant indirect leak detection is shorter than you think. Bueno connects directly to your existing Connect+ data stream — no new hardware, no new sensors, no disruption to store operations. The historical telemetry already stored in Connect+ pre-seeds Bueno’s machine learning model, which means the system is producing insight from Day 1 rather than after a 30-day calibration period. Fleet analysis is typically available in as little as two weeks from engagement.
For grocery operators not yet on Connect+
If your fleet does not yet run Connect+, Bueno and Copeland work together to get you there. The Connect+ deployment and Bueno integration can be scoped and delivered as a single engagement — from data flowing to first fleet insight in weeks, not months. The combined offering gives you the hardware foundation and the intelligence layer as one solution, rather than two separate vendor relationships to manage.
Why This Combination Is Different
There are a number of indirect refrigerant leak detection solutions in the market. What makes the Connect+ and Bueno combination different comes down to three things that no competitor can replicate.
The data foundation is unmatched. Two-thirds of US supermarkets already run on Copeland controls. The historical telemetry available through Connect+ represents a depth and quality of refrigeration data — across tens of thousands of real-world sites — that no independently developed analytics platform can match. Bueno’s machine learning model is trained and validated against this real-world data, not against controlled test environments.
No new hardware means no deployment barrier. Every competing approach to AIM-compliant leak detection that relies on physical gas sensors requires new hardware installation across every store — a capital expense, a logistics programme, and an ongoing calibration and maintenance commitment. For a fleet of hundreds or thousands of stores, that is a significant barrier. Connect+ and Bueno remove it entirely.
The intelligence is purpose-built for refrigeration. Bueno is not a generic building analytics platform applied to refrigeration. Its machine learning models are developed specifically for grocery refrigeration environments — accounting for the variability of seasonal load, defrost cycles, floating head pressure, refrigerant migration, and the dozens of other factors that cause liquid level changes without any leak being present. This specificity is what separates meaningful detection from false alarms, and what makes the system’s confidence scores genuinely useful for operational decision-making.
AIM Act Compliance — What It Requires and How This Delivers It
The AIM Act’s HFC Management Rule, which came into effect January 1, 2026, imposes mandatory leak detection and repair requirements on commercial refrigeration operators with systems containing 15 pounds or more of HFC refrigerant. For systems with 1,500 pounds or more of charge — the majority of supermarket rack systems — Automatic Leak Detection Systems must be installed on all new equipment from January 1, 2026, and retrofitted onto existing systems by January 1, 2027.
The ALD requirement under 40 CFR §84.108 specifies that systems must be capable of detecting leaks at defined sensitivity thresholds, generating documented alerts, and maintaining records of detection events and responses. Indirect detection methods — systems that identify leak signatures from operational data rather than from physical gas detection — are explicitly recognised within the regulation’s framework, provided they meet the specified performance requirements.
Bueno’s indirect ALDS, operating on Connect+ telemetry, is designed to meet these requirements. It delivers continuous monitoring, documented leak detection events with confidence scoring, and the audit-ready records that EPA compliance demands — without the installation, calibration, and maintenance requirements of physical gas sensor networks.
For grocery operators planning their ALD compliance pathway, the Connect+ and Bueno combination represents the lowest-friction, fastest-to-deploy, and most cost-effective route to meeting the January 2027 retrofit deadline across a large store fleet.
Getting Started
Whether your fleet already runs Connect+ or you are evaluating the combined solution for the first time, the starting point is a fleet scoping conversation — understanding your current Connect+ footprint, your AIM Act compliance timeline, and the specific outcomes you need the system to deliver.
From there, deployment is structured, fast, and designed to minimise disruption to store operations. For existing Connect+ operators, the path from engagement to first fleet insight typically takes as little as two weeks.
Want to learn more?
To learn more about how Bueno Analytics works with Copeland Connect+ to deliver AIM-compliant indirect refrigerant leak detection, visit our Refrigerant Leak Detection page or speak to our team.
