In all aspects of life, being proactive is often more effective and impactful than reactive. This idea is accurate for AI in modular construction, as businesses are shifting from reactive to proactive service models using AI.
52% of organizations have already shifted to proactive service models, and 48% plan to follow within the next two years. Companies using proactive models see increased customer satisfaction and fewer service disruptions.
There are several benefits of moving from reactive to proactive service models:
Increased Uptime
Proactive maintenance through predictive AI allows service teams to schedule repairs before problems arise, reducing customer downtime and keeping equipment and operations running smoothly.
Improved Asset Longevity
Preventative care reduces wear, keeping assets in proper shape. This extends the life of the assets and saves on replacement or downtime costs. Organizations can get an overview of service needs, leading to more efficient resource allocation.
Higher Customer Satisfaction
Field service organizations are utilizing AI to enhance customer satisfaction. Several respondents in “The State of AI in European Field Service,” a report written by WBR and sponsored by Gomocha, indicated that AI is being used to offer more responsive and efficient customer service. Some mention the implementation of AI-powered chatbots or virtual assistants to handle inquiries and AI tools that analyze customer feedback.
Best practices for using proactive service models include focusing on data and real-time analytics to identify key needs early, such as technician availability, customer behavior patterns, and service needs. This is used for streamlined and standardized scheduling and dispatch processes.
Staff must also be properly trained for any changes involving cultural shifts. Stakeholders should understand the value of AI and be willing to integrate new technology.
Gomocha’s AI-driven capabilities:
Adapt Technology to Your Processes (Not the Other Way Around)
With Gomocha, your business can predict maintenance needs and alert teams before issues occur.
The cloud-based field service management technology supports unique services and processes while maintaining important IT standards. Gomocha’s flexible platform updates you with the latest field services approaches, addressing your organization’s unique needs.
Centralize Asset Intelligence
Gomocha helps organizations optimize their resources by identifying when and where technicians are needed most, reducing idle time, and maximizing productivity.
Avoid costly mistakes because of scattered data. Database Manager alleviates that issue with a centralized asset intelligence efficiency that provides clear oversight for proactive maintenance and smarter resource allocation. It’s one version of truth for your entire field service organization.
With Gomocha, all your equipment information is in one place and always up to date. There are no more conflicting records or guessing games.
Be Ready for Any Job (with AI-Powered Prep Work)
A soon-to-be-released Gomocha feature, GOPredict, uses AI to analyze historical data to determine the necessary materials and tools for each job. AI-driven predictions ensure first-time fixes and efficient service so your business can avoid return trips — and unhappy customers.
GOPredict is currently in development as a fully secure, non-commercial AI solution, meaning all data processing happens within Gomocha. Rest assured that your data — and that of your customers — is safe and secure and will never be used to train commercial AI platforms.
Read the report, “The State of AI in European Field Service,” written by WBR and sponsored by Gomocha, for further insights into the survey of field service leaders from European organizations.