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.


 

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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.



 

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
     

 

PlatformIdeal Fit / ScaleStandout Strengths
IFS Cloud Field Service ManagementMid-large enterprise; asset-intensiveIndustrial AI scheduling; deep EAM/ERP
Microsoft Dynamics 365 Field ServiceMid-enterprise; Microsoft stackAI scheduling; ERP/CRM alignment
Salesforce Field ServiceMid-enterprise; CRM-centricCX, portals, IoT; strong scheduling
ServiceMaxEnterprise; regulated assetsAsset lifecycle, warranty, PdM
ServiceTitanLarge residential tradesMobile-first ops; price books
JobberSmall teams, contractorsEasy scheduling, invoicing
Housecall ProSolo to small teamsFast invoicing, comms, ease
ConnecteamSMB field teamsTeam ops, comms, scheduling
ServiceFusionGrowing SMB-midFlat-rate, unlimited users
Field PromaxSmall-mid teamsQuick scheduling, QuickBooks sync
  • “Manufacturing today is about innovating faster, optimizing smarter, and delivering service with intelligence at every touchpoint. Service has reached a tipping point: it is no longer a support function but the front line of competitive advantage. With Industrial AI maturing rapidly, manufacturers can anticipate needs, personalize experiences, and extend service value like never before.” 

    Gert Müller
    EMEA Intelligent Asset Management Lead, Accenture
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