AI-Powered Logistics: A Smart Field Service App Delivered in 90 Days
AI and Machine Learning
The
Overview
A field service organization was struggling with manual scheduling and task assignment. Wishtree partnered with them to build an AI-powered smart scheduling app that leverages predictive algorithms and geospatial data.
Problem
Statement
The client’s manual scheduling process was no longer sustainable as operations expanded across borders. Dispatchers were overwhelmed, technicians were underutilized, and customers waited longer than necessary for service.
Highlights
AI-powered smart scheduling
Predictive task assignment
Real-time technician tracking
Mobile-first field app
Live across 4 countries
90
Days delivery
Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.
About Client
A field service organization managing hundreds of daily tasks across multiple countries – from installations and repairs to maintenance calls.
- Dispatchers spent hours each day manually matching technicians to tasks using spreadsheets and guesswork
- Field coverage was inconsistent
- Customer response times suffered
- Expanding to new countries multiplied the complexity
- No real-time visibility into technician locations or job status
- Developed a cross-platform mobile app for technicians to receive tasks, update status, and navigate to job sites.
- Built a smart scheduling engine using predictive algorithms that learn from historical data to assign the right technician to each job.
- Integrated geospatial data APIs to calculate optimal routes based on traffic, distance, and job priority.
- Created a real-time dispatcher dashboard with live technician tracking and task status visibility.
- Designed the system to handle multi-country operations with localized rules and time zones.
- Delivered the MVP in 90 days, with a scalable architecture ready for future expansion.
- Predictive algorithms analyze historical job data, technician skills, and location patterns to recommend optimal task assignments automatically.
- Geospatial routing calculates the most efficient travel paths.
- The system continuously learns from completed jobs.
- Real-time alerts notify dispatchers of delays, cancellations, or urgent requests.
React Native
Python
Hibernate
Hibernate
Hibernate
ECS
Hibernate
Hibernate
Hibernate
SageMaker
Hibernate
Hibernate
RDS
QuickSight
Hibernate
Hibernate
Hibernate
ECS
Hibernate
Hibernate
Hibernate
SageMaker
Hibernate
Hibernate
Hibernate
Kinesis
Core Features
Smart scheduling engine
Geospatial route optimization
Dispatcher dashboard
Multi-country support
Analytics & reporting
Impact
- 88% increase in task coverage efficiency
- 60% reduction in manual coordination effort
- Live across 4 countries within 90 days of project kickoff
- Faster customer response times
- Improved technician utilization
- Real-time visibility for dispatchers
- Scalable foundation ready
Why Wishtree
Wishtree builds AI-powered solutions that transform manual, chaotic operations into streamlined, scalable systems.
For this field service client, we:
- Delivered a live, multi-country app in just 90 days
- Applied predictive AI to solve real operational pain points
- Cut manual effort by 60% while increasing coverage by 88%
- Built a scalable foundation for future growth and expansion