AI Scheduling That Pays for Itself
IFS Planning and Scheduling Optimization puts the right technician, with the right skills and parts, in the right place at the right time — and keeps re-planning as the day changes. See the results on your own data before you commit.
IFS scheduling customers report 35% less technician travel, up to 49% lower subcontractor spend and 25% better SLA adherence.
How it works
What IFS Scheduling Optimization Does
Far beyond a dispatch board: an optimization engine built for real-world field operations.
Real-time dynamic optimization
Continuously re-plans as emergencies, overruns and cancellations happen — without a dispatcher rebuilding the day.
Skills, parts and SLA constraints
Every assignment respects certifications, parts availability, shift patterns and contractual response times.
Street-level, predictive routing
Realistic travel times from real road networks keep schedules achievable and cut mileage.
Multi-time-horizon planning
Long-range capacity planning, medium-term planning and today's schedule in one engine.
What-if simulation
Test new territories, headcount, shift patterns or contract terms before committing to them.
In-house and contractor blending
Makes full use of your own technicians before work goes to subcontractors.
Appointment booking
Offer customers realistic appointment windows the schedule can actually meet.
Fleet and emissions
Fewer miles means lower fuel cost and emissions, including support for electric vehicle fleets.
Works with your systems
Runs within IFS Cloud or alongside your existing enterprise systems as part of a composable architecture.
Industrial AI
Autonomous, AI-driven optimization across the service lifecycle, improving with every schedule.
Why Growing Service Organizations Start Here
Scheduling is where field operations win or lose margin every day — and optimization delivers measurable results fast. That's why it is often the first step on the IFS journey.
- 35–50% less technician travel reported by IFS customers
- Up to 49% lower subcontractor spend in facilities management
- Up to 73% more work orders completed with the same workforce
- 25% better SLA adherence and higher first-time fix
- Manufacturers report 39% more jobs per day and 27% less travel
- Can start alongside your existing systems and expand later
Script your demo around these
A Proof of Value loads your real service data into the scheduling engine and calculates your KPIs. These are the scenarios worth seeing:
- 1Your busiest day last month, re-planned by the engine — with the mileage and overtime difference.
- 2An emergency call that displaces committed SLA work, and how the plan recovers.
- 3Next quarter's demand against your current headcount: where the capacity gaps are.
- 4The subcontractor hours your own team could absorb.
See it in your industry: service industries, energy & utilities, manufacturing, and IFS service management.
Related Reading
Go Deeper
FAQ
IFS Scheduling Optimization — FAQ
IFS Planning and Scheduling Optimization (PSO) is an AI-powered scheduling engine for field workforces. It assigns and sequences work against technician skills and certifications, parts availability, travel, shift patterns and SLA commitments, and continuously re-optimizes as the day changes. It also supports long- and medium-term capacity planning and what-if simulation, so the same engine that runs today's schedule helps plan next quarter's workforce.
IFS customers report 35–50% less technician travel, up to 49% lower subcontractor spend in facilities management, up to 73% more work orders completed, and around 25% better SLA adherence. Manufacturers using IFS scheduling optimization report 39% more jobs per day and 27% less travel. The best way to see what applies to your operation is a Proof of Value on your own data.
A Proof of Value shows what IFS scheduling optimization would achieve using your real service data. Your jobs, technicians and constraints are extracted and loaded into the scheduling engine, adjustable parameters such as travel, resources and tasks are set, and the main service KPIs — SLA adherence, overtime, mileage and effective working time — are calculated. ESS can help you request one and prepare your data, so your leadership team sees measured results before deciding.
No. IFS scheduling optimization can run within IFS Cloud or alongside your existing enterprise systems as part of a composable architecture. Many organizations start with scheduling because it pays back quickly, then extend into IFS field service, asset management and ERP over time. ESS designs the integration so it works with the systems you keep.
The more complex your scheduling — more technicians, more jobs per day, more skills, parts and SLA constraints — the more value optimization delivers. Growing service organizations with dozens to hundreds of field technicians typically see strong results. A short conversation with ESS about your workforce and job volumes is the quickest way to find out what to expect.
See It Run on Your Own Data
Ask us about a Proof of Value to see the travel, overtime and SLA results IFS scheduling could deliver for your operation.
