Smart Services with IoT and AI
Launching new products and services at a rapid scale

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”.

Our Service Offerings
Accelerated Smart Services Launch

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.

This engagement consists of:
  • Hypothesis journey mapping activity
  • Aligning on business objectives, strategies, and tactics along with customer needs, behaviors, and goals
  • Creating an evidence-based user journey map to identify customer pain points throughout the process
  • Translating pain points to prioritized tactics to align smart service opportunities to customer needs and business goals
  • Defining the IoT business model and IoT Economics
  • Working with engineering to determine product engineering impact
  • Working with IT to determine crawl, walk and run strategy for systems and data impact
  • Applying Service Blueprint to highlight Operating Model impacts to support new services
  • Helping create a business case for smart services
  • Creating an organization governance and steering committee communication plan
I'm Interested

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.

Our Smart Services Work

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

Delivering value to the insurance industry
Enabling Smart Service Technology
Artificial Intelligence
Technology that makes it possible for machines to learn from experience, adjust to new inputs, learn, reason and perform human-like tasks
Delivery of computing services—servers, storage, databases, networking, software, analytics, intelligence and higher level application building blocks over the Internet (“the cloud”)
Internet of Things
Physical devices with embedded software, ubiquitous connectivity, a broad range of sensors, actuators, intelligence at the edge and purposeful cloud platforms are powering Industry 4.0
Customer Experience (CX)
Product of an interaction between an organization and a customer over the duration of their relationship
Cross-platform, enterprise-ready native mobile development platform to power experiences across all mobile devices
Mixed Reality
Merging of real and virtual worlds to produce new environments and visualizations where physical and digital objects co-exist and interact in real time
Let’s Collaborate