Unlocking efficiency, empowering service excellence

Transforming field service excellence through actionable insights

Field.AI is a revolutionary solution that harnesses advanced analytics techniques and machine learning algorithms to help organizations gain a comprehensive understanding of their service delivery processes, resource utilization, and customer satisfaction levels. With Field.AI, organizations can uncover valuable patterns, trends, and areas for improvement from their data. These insights help businesses stay ahead of the game as they enhance decision-making enabling businesses to proactively address issues, streamline workflows, and allocate resources effectively.  With a focus on key performance indicators such as response time, first-time fix rate, and technician productivity, TAVANT’s Field.AI enables companies to improve operational efficiency, reduce costs, and deliver exceptional customer experiences.

Features

AI smart search

Pull and organize data from various resources such as service history, equipment preferences, technician interactions, knowledge articles, cases, videos, and manuals for an all-encompassing view of your operations, aiding in informed decision-making.

Service and parts predictions

Leverage machine learning and historical data to forecast service requirements and predict parts usage. Enable proactive maintenance planning, optimize inventory management, and efficiently allocate resources to improve service delivery and customer satisfaction.

Real-time visibility

Get instant and up-to-date insights into field operations, allowing businesses to monitor technician locations, track service requests, and dynamically allocate resources. Additionally, elicit timely responses, enable proactive decision-making, and enhance operational efficiency.

AI chatbots​

Provide automated and intelligent support to customers and field technicians through AI chatbots that assist with troubleshooting, answering common queries, and guiding users through self-service options, resulting in faster issue resolution, improved customer satisfaction, and reduced workload for support teams.

MTTR, MTBF, and fix rate

Analyze KPIs such as mean time to repair (MTTR), mean time between failures (MTBF), and fix rate to get actionable insights that measure, monitor, and continuously improve field service operations.

Causal parts probabilities

Utilize historical data and advanced algorithms to determine the likelihood of specific parts causing equipment failures or issues. Enable your team to proactively stock and replace parts, minimize downtime, and improve overall service efficiency.

Workforce and route optimization​

Consider factors such as technician skills, location, availability, and service requests to improve efficiency, reduce travel time, and enhance customer satisfaction by ensuring the right technician is assigned at the right time.

Benefits

Real-time insights

Enable businesses to make proactive and immediate decisions based on the most up-to-date information

Industry specific expertise

Enable standardization and exponentially reduce data engineering investments

Advanced predictive capabilities

Utilize ML models to forecast future trends, anomalies, or potential issues based on historical and real-time data

Wide choice AI models

Various AI Models that seamlessly and securely run on your data and store insights in your subscription

APIs that offer flexibility

APIs to build or run solutions analytics, reports, and dashboards