Resolving Backend Bottlenecks to Deliver Measurable Performance Gains
Hyster-Yale
The Value
Hyster-Yale partnered with The C2 Group to address a systemic backend performance issue that was slowing page load times and creating instability under load. Through targeted service architecture changes, the platform saw response time improvements and stronger HTTP success rates across all environments.
+53%
Peak Response Time Improvement

The Challenge
Hyster-Yale's digital platform was experiencing backend performance bottlenecks that surfaced as slow page-response times and reliability issues under normal operating load. The symptoms pointed to a deeper architectural problem: the object mapping service responsible for handling requests was being instantiated anew with each individual request, rather than initialized once and shared across the application.
This pattern created unnecessary processing overhead on every page load. Under heavier traffic conditions, the accumulated cost of repeated instantiation contributed to thread pressure and instability across environments, degrading both the end-user experience and the reliability of the platform overall. The performance gap was consistent and measurable, with requests frequently missing target thresholds for acceptable load time.
What made this challenge meaningful was not just its technical dimension, but its business impact. Slower response times increase bounce risk, reduce user confidence, and create operational noise for teams responsible for maintaining the platform. For an organization of Hyster-Yale's scale and digital footprint, platform stability is not a peripheral concern; it is foundational to how they serve their customers and dealers across global markets.


The Outcome
C2 worked with the Hyster-Yale team to identify the root cause of the performance degradation and implement a structured set of changes designed to address it at the architecture level.
The AutoMapper service was changed from a Transient to a Singleton lifetime, meaning it is now initialized once at startup and reused across requests rather than rebuilt each time. A mapper warm-up process was added to the application startup sequence to absorb first-request cost before live traffic hits the system. To ensure correctness after moving to singleton behavior, related type converters were hardened for thread-safe execution, maintaining accurate personalization context on a per-request basis.
The results were measurable across every environment tested. Response times improved significantly, with the strongest observed gain reaching over 50% faster performance against the established 1.75-second page load threshold. Other environments showed gains in the range of 19% to 43% on the same metric. HTTP success rates improved as well, rising by roughly 9% to 20% depending on the environment.
Beyond the immediate numbers, the work established a more stable and efficient baseline for the platform going forward. Better response performance lowers bounce risk and supports a stronger user experience. More consistent behavior under load reduces operational noise and creates a healthier foundation for future enhancements, without the compounding cost that comes from building on an unstable base.

About Hyster-Yale Group
Founded in 1929, Hyster-Yale Group is one of the world's largest manufacturers of lift trucks and materials handling equipment. Headquartered in Cleveland, Ohio, the company designs, engineers, manufactures, and services a comprehensive product line marketed globally under the Hyster® and Yale® brand names, alongside subsidiaries including Nuvera Fuel Cells and Bolzoni S.p.A.
Operating across more than 700 industries and spanning five continents, Hyster-Yale serves a broad range of applications from warehouse operations to heavy-capacity port equipment. The company is publicly traded on the NYSE under the ticker HY and employs between 5,000 and 10,000 people worldwide.