SLM

Why SLM Matters in Today’s Industry

Aftermarket services now represent up to 40% of revenue for many manufacturers. Customers expect fast, accurate, and proactive service. Yet without structured Service Lifecycle Management (SLM), companies rely on outdated product data, manual processes, and guesswork in spares planning.

This results in overstock or shortages, high service costs, and frustrated customers. To turn service into a growth engine, companies need a platform that connects service operations directly with product data and lifecycle information.

SLM delivers:

AI-driven spare parts forecasting and inventory optimization
Real-time access to product and BOM data for service teams
Efficient warranty and claim management
Improved first-time fix rates and reduced downtime
Better customer experience and higher aftermarket revenue

About PTC Servigistics

Servigistics SLM is the industry-leading platform for service lifecycle management. It enables manufacturers to maximize service profitability, ensure parts availability, and deliver exceptional customer service.

With Servigistics, organizations can:

Optimize spare parts planning using AI-driven forecasting models

Provide service engineers with up-to-date product configurations via Windchill integration

Improve first-time fix rates through better parts and data availability

Reduce inventory costs while avoiding shortages and downtime

Manage warranties and service performance more effectively

The Hidden Cost of Working Without SLM

Organizations that lack an SLM system face:

Overstocking and shortages in spare parts inventory
Service teams working with outdated or incomplete product data
Low first-time fix rates and prolonged downtime for customers
Inefficient warranty handling and high service costs
Lost aftermarket revenue and weakened customer loyalty

From Pain Points to Powerful Solutions

Challenges Without SLM	How PTC Servigistics Solves Them
Inefficient Spare Parts Planning – Overstock or shortages raise costs and affect service delivery.	AI-Driven Optimization – Machine learning forecasts ensure the right part, in the right place, at the right time.
Outdated Product Data – Technicians lack visibility into current configurations.	PLM-Integrated Service Data – Real-time BOM and product information enable accurate, efficient repairs.
Poor First-Time Fix Rates – Repeat visits frustrate customers and increase downtime.	Improved Service Efficiency – Better data and spares availability boost first-time fix success.
Rising Service Costs – Excess inventory, rework, and downtime drive up expenses.	Reduced Costs – Smarter warranty and service planning lower operational costs.
Lost Aftermarket Revenue – Missed opportunities for customer retention and upsell.	Customer-Centric Service – Higher satisfaction strengthens loyalty and revenue streams.