Case study: A leading chiller manufacturer

Industry: Industrial equipment, HVAC and cooling

Segment: Chiller OEM

Scale: One of India's leading manufacturers of commercial and industrial chillers

Units connected: 2,000+

Product deployed: Tor Equip

The client

A prominent chiller manufacturer with a significant installed base across commercial buildings, industrial facilities, and data centres in India. With thousands of units deployed across geographically dispersed sites, the company had built a strong market position on the strength of its product quality. The challenge, as the installed base grew, was sustaining service quality and commercial performance at the same scale.

The challenge

With 2,000 chillers deployed across diverse sites and geographies, the OEM's service model was under increasing strain. Field engineers were being dispatched without real-time diagnostic information, arriving on site without full visibility into the fault condition or the specific parts required to resolve it. The consequences compounded across every service event.

On the service side:

• No remote visibility into equipment health meant every fault required a physical visit before diagnosis could even begin
• Engineers arrived unprepared, leading to repeat visits, extended resolution timelines, and high mean time to repair
• First-time fix rates were low, eroding both service efficiency and customer confidence
• Condition-based maintenance was not possible, as there was no mechanism to detect early warning signals such as condenser fouling, refrigerant pressure anomalies, or compressor operating outside its design envelope

On the commercial side:

• Warranty claims were difficult to assess without operational data, making it challenging to distinguish between product defects and issues arising from site conditions or improper operation
• Warranty exposure was accumulating across the installed base with limited ability to identify patterns, prioritise interventions, or address recurring failure modes at scale

The solution

Tor.ai deployed Tor Equip across the OEM's installed base of 2,000 chillers, establishing remote connectivity and continuous performance monitoring across the entire fleet. Each connected unit provided a live stream of operational data including condenser and evaporator temperatures, refrigerant pressures, compressor status, power consumption, and fault codes.

Key capabilities activated through the deployment included:

• Remote diagnostics: fault codes and operating parameters accessible by service engineers before dispatch, enabling pre-visit root cause analysis and preparation of the correct spares
• Condition-based alerts: real-time threshold monitoring for abnormal conditions including condenser fouling, refrigerant anomalies, and compressor surge, enabling proactive intervention before failures occurred
• Performance trend monitoring: continuous tracking of key operating parameters to identify gradual degradation patterns that would otherwise go undetected until a breakdown occurred
• Operational history capture: a complete record of each unit's operating conditions, load profile, and fault events, providing the evidentiary basis for warranty assessment and claim validation
• Fleet-wide visibility: a centralised dashboard giving service managers real-time status across all 2,000 connected units, enabling prioritisation of interventions and more efficient allocation of field resources

The results

30% improvement in MTTR, driven by remote pre-visit diagnostics that allowed engineers to arrive on site with a clear understanding of the fault condition and the correct parts in hand. Resolution timelines shortened significantly as repeat visits decreased.

40% improvement in first-time fix rate, a direct outcome of better pre-visit preparation and condition visibility. Engineers resolved faults on the first visit at a substantially higher rate, improving both service efficiency and end customer satisfaction.

Meaningful reduction in warranty exposure, enabled by the availability of complete operational data for every connected unit. The OEM could now assess warranty claims against actual operating history, identifying cases where failures were attributable to site conditions or improper operation rather than product defects. Over time, this data also surfaced recurring failure patterns across the fleet, informing targeted product and service improvements.

Beyond the headline metrics:

• Field service teams operate with greater efficiency, with remote triage reducing unnecessary dispatch and allowing engineers to focus on cases that genuinely require on-site attendance
• Early detection of condenser fouling, refrigerant anomalies, and compressor stress events has reduced the frequency of catastrophic failures across the connected fleet
• Fleet-wide visibility has given service management a real-time operational picture that was previously unavailable, improving planning, resource allocation, and response prioritisation
• The OEM's connected service capability has become a credible differentiator in customer conversations, particularly with large commercial and industrial accounts for whom chiller uptime is operationally critical

What made the difference

The core problem was the same on both fronts: the OEM was operating without visibility into what was happening in the field. Service teams were reacting rather than anticipating, and commercial decisions around warranty were being made without the data to support them.

Connecting 2,000 chillers did not simply improve individual service events. It changed the operating model. Remote diagnostics reduced the cost and time of every service interaction. Condition monitoring shifted maintenance from reactive to predictive. Operational data gave the warranty and product teams a factual basis for decisions that had previously relied on judgement and assumption.

For an OEM with an installed base of this scale, the compounding effect of those improvements across every unit, every service event, and every warranty assessment is substantial.

Tor Equip: built for equipment OEMs who need field visibility to improve service performance and protect commercial outcomes.

www.tor.ai