Servigistics’ Industrial AI Innovation Delivers Exponential Results for Clients and Partners

Dr. Vipul Agrawal, Servigistics’ long-tenured industrial AI expert, leads an expanding team focused on purpose-built industrial AI innovations tuned to maximize service supply chain optimization.

Since 2006, Servigistics has infused industrial AI innovations into its core Servigistics Service Parts Management and Service Parts Pricing products. Service parts planners are achieving exponential results with a system tuned to autonomous decision-making.

While open source availability and awareness of AI have significantly increased in the last decade, visionaries like Servigistics and companies in financial trading, telecom networks, insurance, etc. have built domain-specific large-scale AI-based production models to make optimal decisions under uncertainty. One common aspect in these industries is that massive amounts of structured data are available, and many (millions) of decisions must be made daily, with significant financial impact of making wrong decisions. As more AI methodologies are becoming available, these visionaries are faster and more reliable in taking advantage of them because of their experience and skill set in converting theoretical models to value-added robust production software.

Servigistics R&D has three key focus areas for applying big data, machine learning, and artificial intelligence: Forecasting demand patterns, optimization, and intelligent performance monitoring.

• Forecasting: There are a number of instances of advanced data science related to forecasting, including specialized methods for low and sporadic demand, cluster analysis to support the launch and end-of-life forecasts, and, by extension Initial Provisioning and Last Time Buy recommendations.
• Multi-Echelon Optimization is a perfect example of machine learning in that each decision to stock or not stock a part at a location influences all of the subsequent decisions in how the budget is consumed and how parts contribute to service level.
• Performance Analytics and Intelligence is the newest and broadest application of advanced data science for parts planning. It utilizes all of the technologies, AI, ML, big data, to monitor system performance and expose systemic or macro-level issues requiring tuning the planning model itself. As the system becomes more self-correcting, it introduces a pathway toward semi-autonomous planning

Independent industry analysts have praised these Servigistics industrial AI innovations. “Incorporating advanced data science, machine learning, and an IoT platform allows PTC to support some of the most complex service supply chains within industries such as commercial aviation and defense with multi-echelon optimization designed specifically for aftermarket activities,” stated Aly Pinder Jr., Research Vice President, Aftermarket Services Strategies via IDC MarketScape: Worldwide Manufacturing Service Parts Management Applications 2021-2022 Vendor Assessment.

In the same report, he continues: “Manufacturers and service organizations should consider PTC when they are looking for a technology partner that can automate complex service supply chains and has a track record of aiding digital transformation and innovation in service parts management."

Additionally, PTC was recognized as an Expert in the report “Spare Parts Management Software State of the Art Benchmark Evaluation,” published by Blumberg Advisory Group. This report benchmarked vendors across critical areas of service parts management functionality, including Optimization Approach, Forecasting Capabilities, Incorporation of Data Sciences, Vision and Innovation, Depth of Features, Vertical Markets Served, Service Supply Chain Expertise, and Flexibility and Ease of Use.

“Servigistics’ introduction of advanced data science, including machine learning and artificial intelligence, is well documented since 2006. Their strategic vision is to leverage math and data science to change the planning tool and change the way parts planning is done. Their ambition is to achieve semi-autonomous planning, where the combination of human capital and adaptive systems achieve next-level results,” the report stated.  

Servigistics is distinguished in the market by its innovation with advanced data science and industrial AI, and Servigistics clients are achieving powerful results.

The impact of AI in the industrial space has an enormous impact on how we live our lives. The technology innovations we deliver benefit OEMs across numerous verticals, including commercial airlines, construction and agricultural equipment, electronics, and high tech, medical devices, federal aerospace and defense, energy, and more. We are pleased to enable OEMs with the power of industrial AI to achieve exponential results, improving the lives of end customers while operating an efficient, sustainable, and profitable service supply chain.

For more on industrial AI for service supply chain optimization, watch my presentation below: