Preparing for the Future of AI in Field Service

The role of AI in field services is only expanding. Leaders will likely discover and implement best practices for integrating and improving this new technology.

74% of companies plan to increase their investment in AI over the next year. The top goals for these investments are optimizing resource allocation and enhancing service efficiency.

Here is what companies must consider when planning for future AI investments:

Resource Optimization

AI can anticipate labor and material needs, which helps to reduce waste and optimize equipment usage. AI-driven scheduling tools enable accurate forecasting and resource allocation under tight timelines.

Service Efficiency

AI can enhance service efficiency, whether it’s through predictive maintenance, monitoring project progress in real-time, preventing equipment downtime, or improving on-time project delivery. AI models can also analyze historical data and optimize workflows.

Data Management

Companies should consider standardizing their data to enable actionable insights through AI. Respondents of a survey of field service leaders from European organizations described in “The State of AI in European Field Service,” a report written by WBR and sponsored by Gomocha, said they use AI to analyze real-time data on technician availability, customer behavior patterns, and service needs to streamline scheduling and dispatch processes. This results in faster response times, minimized delays, and more efficient allocation of resources.

Scalability

AI systems must consider scalability for longevity and flexibility. They should be able to adjust to different project scopes.

For a smooth transition, field service leaders must invest in flexible, API-driven AI solutions that can easily integrate with existing systems while simultaneously developing a long-term plan for modernizing core infrastructure. They should also create a comprehensive strategy to obtain clean and usable data.

Gomocha’s flexible and scalable platform grows with a company’s needs, ensuring that AI investments made today will support business goals tomorrow. Gomocha’s technology optimizes technician and asset use, helping companies get more out of their AI investments.

Gomocha’s efficiencies include:

Support Real-Time Task Oversight

Planboard provides a centralized view of tasks and workflows, enhancing project visibility and resource management. It includes work by location, field team management, estimated travel times, document overview, subcontractors, route plans, and field quotes.

Projects can get derailed without clear task oversight. The Gomocha Planboard keeps everything on track, improving efficiency and reducing delays.

Take an Efficient Digitization Journey

Gomocha’s scalable digital transformation platform starts digital transformation on your business’s terms and helps you evolve without getting stuck in tech-stack issues.

While many companies hesitate to digitize, fearing complex, expensive processes, a scalable platform like Gomocha lets you start small and grow without painful overhauls.

Access Tailored Insights

Analytics and Reporting (Tailored Insight Engine) in Gomocha generates custom reports tailored to your business metrics and terminology.

Many field service organizations struggle to make sense of their data. Standard reports provide an overwhelming amount of information but, by definition, can’t focus on the metrics that matter for your specific business model.

With Service Performance Indicators, you zoom in on what matters. It’s about uncovering the insights that drive meaningful improvements.

Automate Workflow Updates

Gomocha’s Flow Transition Manager automatically updates workflows based on predefined criteria and business rules without manual intervention. Static workflows can’t keep up with changing field service needs. Automated updates ensure processes stay current and effective.

Be Ready for Any Job (with AI-Powered Prep Work)

GOPredict (coming soon) uses AI to analyze historical data and predict necessary materials and tools for each job. Unprepared techs mean return trips and unhappy customers. AI-driven predictions ensure first-time fixes and efficient service.

The Gomocha team is currently developing GOPredict, a fully secure, non-commercial AI solution. All data processing happens within Gomocha, meaning that your data — and your customers’ data — is safe and secure. It will never be used to train commercial AI platforms.

Avoid playing catch-up with Gomocha. As the role of AI rapidly evolves, businesses can count on the platform to seamlessly support AI in field services.

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.