Every product organization that offers aftermarket services to its customers is beginning to evaluate opportunities to grow their services business. Organization growth and profitability goals point to services leading mid- and long-term growth, with options including: introducing new service-focused business models, tiered service offerings with tiered pricing structures, subscription-based services, and even pay-per-outcome models. The goal is to drive organic services growth with new and existing clients.
Extending services to include data from IoT devices infused with AI allows enterprises to deliver higher value services overall, leading to increased monetization and business model opportunities. At Productive Edge, we call these services “Smart Services”.
The Accelerated Smart Services Launch program is tailored to get you up and running with an execution plan and a cross-organization agreed upon roadmap for launching smart services rapidly.
Aftermarket service organizations recognize that their customers aren’t necessarily satisfied with their current offerings, but they aren’t sure how to change that.
By investing in understanding customer wants, needs, and motivations, companies are better able to focus the strategy around specific service tiers, pricing, and capabilities that differentiate offerings while still delivering on customers’ pain points.
Many service companies are experts in building and manufacturing hardware, but don’t have a background in software, cloud, or technology execution, making it challenging to choose the best option for their customers and business.
It is critical for organizations to ensure their engineering partner and software partner have worked together before and understand the complexity, handshakes, and collaboration involved throughout the entire process. Digital solutions companies like Productive Edge understand engineering and the role software development plays in the overall lifecycle. At Productive Edge, we work with engineering partners as much as software and SaaS partners.
A majority of businesses find that hiring a team of data scientists to build and deploy machine learning models is time-consuming, difficult, and costly.
The emerging area of Automated Machine Learning is introducing tools like DataRobot that democratize and scale data science to multiple skill levels within the organization, increasing efficiencies and decreasing cost.
We partnered with an enterprise to envision a digital application that would reward insurance policyholders for healthy living through a custom-built program. Members utilize the platform to become active, quit bad habits, eat and sleep better, and take many other steps to improve their health. As an incentive, users receive rewards by completing tasks like losing weight or quitting smoking, including merchandise discounts, rewards from global partners