Global Airline Cuts Maintenance Turnaround by 25% with IFS
The IFS Purple Book presents IFS’s vision for the Industrial AI™ era, positioning the company as a leader in industrial software and AI-driven transformation.
Today, IFS streamlines the entire service lifecycle including:
- Demand, supply and materials planning
- Order fulfilment
- Returns management
- Supplier management
- Asset management
IFS aims to become the top technology brand in its sector, focusing on mission-critical industries and delivering measurable results in growth, efficiency, and sustainability. The company’s strategy is anchored in deep industry expertise, a strong partner ecosystem, and a commitment to customer satisfaction, with over 7,000 employees and 5,500+ customers in 90+ countries.
IFS aims to become the top technology brand in its sector, focusing on mission-critical industries and delivering measurable results in growth, efficiency, and sustainability. The company’s strategy is anchored in deep industry expertise, a strong partner ecosystem, and a commitment to customer satisfaction, with over 7,000 employees and 5,500+ customers in 90+ countries.
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Industrial AI moves from pilot to scale
While 28% of manufacturers have fully scaled AI, many are still struggling with barriers like data quality governance, cybersecurity and data privacy concerns, or integration challenges with legacy systems. Focusing on removing these key blockers is crucial to fully realizing the value of AI in optimizing operations and driving predictive, real-time decision-making.
Reskilling the Workforce for a Service-Led Future
As manufacturers shift from traditional break-fix and warranty models to outcomes-based contracts and tiered service offerings, the workforce must evolve in parallel. With 98% of manufacturers reporting labor shortages, the pressure to build internal capability is intensifying. In response, companies are adopting forward-looking strategies such as internal training academies, e-learning platforms, academic partnerships, and selective automation. These initiatives are not just about filling gaps—they’re about equipping teams with the skills needed to thrive in a digitally enabled, service-centric environment.
Industrial AI moves from pilot to scale
While 28% of manufacturers have fully scaled AI, many are still struggling with barriers like data quality governance, cybersecurity and data privacy concerns, or integration challenges with legacy systems. Focusing on removing these key blockers is crucial to fully realizing the value of AI in optimizing operations and driving predictive, real-time decision-making.
Reskilling the Workforce for a Service-Led Future
As manufacturers shift from traditional break-fix and warranty models to outcomes-based contracts and tiered service offerings, the workforce must evolve in parallel. With 98% of manufacturers reporting labor shortages, the pressure to build internal capability is intensifying. In response, companies are adopting forward-looking strategies such as internal training academies, e-learning platforms, academic partnerships, and selective automation. These initiatives are not just about filling gaps—they’re about equipping teams with the skills needed to thrive in a digitally enabled, service-centric environment.
Industrial AI moves from pilot to scale
While 28% of manufacturers have fully scaled AI, many are still struggling with barriers like data quality governance, cybersecurity and data privacy concerns, or integration challenges with legacy systems. Focusing on removing these key blockers is crucial to fully realizing the value of AI in optimizing operations and driving predictive, real-time decision-making.
Industrial AI moves from pilot to scale
While 28% of manufacturers have fully scaled AI, many are still struggling with barriers like data quality governance, cybersecurity and data privacy concerns, or integration challenges with legacy systems. Focusing on removing these key blockers is crucial to fully realizing the value of AI in optimizing operations and driving predictive, real-time decision-making.
Industrial AI moves from pilot to scale
While 28% of manufacturers have fully scaled AI, many are still struggling with barriers like data quality governance, cybersecurity and data privacy concerns, or integration challenges with legacy systems. Focusing on removing these key blockers is crucial to fully realizing the value of AI in optimizing operations and driving predictive, real-time decision-making.
Industrial AI moves from pilot to scale
- Demand, supply and materials planning
- Order fulfilment
- Returns management
- Supplier management
- Asset management
| Platform | Ideal Fit / Scale | Standout Strengths |
|---|---|---|
| IFS Cloud Field Service Management | Mid-large enterprise; asset-intensive | Industrial AI scheduling; deep EAM/ERP |
| Microsoft Dynamics 365 Field Service | Mid-enterprise; Microsoft stack | AI scheduling; ERP/CRM alignment |
| Salesforce Field Service | Mid-enterprise; CRM-centric | CX, portals, IoT; strong scheduling |
| ServiceMax | Enterprise; regulated assets | Asset lifecycle, warranty, PdM |
| ServiceTitan | Large residential trades | Mobile-first ops; price books |
| Jobber | Small teams, contractors | Easy scheduling, invoicing |
| Housecall Pro | Solo to small teams | Fast invoicing, comms, ease |
| Connecteam | SMB field teams | Team ops, comms, scheduling |
| ServiceFusion | Growing SMB-mid | Flat-rate, unlimited users |
| Field Promax | Small-mid teams | Quick scheduling, QuickBooks sync |
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