Challenge

I´m working on Commercial Development of a well suited ICT company, specialized on Satellite  Communications and Geo Information activities. More recently, we open a wide spam of ICT  projects to enhance and improve revenues in corporate clients. With barely no R&D investment  and conservative internal management to perform new and ambitious project to evolve, me and  my team considerer relevant to invest a few amount of resources to explore IoT (Internet of  Things) platform applied to retail customers, that can save money on current branches expenses  (energy, maintenance, raw material). Our challenge is justifying that the ROI (return over the  investment) will be positive due the reduction of opex. With limited budget and time, we will  concentrate on clients’ needs and seize own and third parties capabilities to select which model  of IoT platform services we need to perform

Selection

Me and my team gone through some of the most usual design thinking tools and we are ready  to try the learning launch tool. Basically, we decide that learning launch is an experiment meant  to quickly test a project as an idea and prototype the best possible IoT service and platform.

Application

For this learning launch, we decide to understand clients need through a small survey on few  average branches.  This could get us more structure and affordable information of what’s is the  energy expense and estimate the savings. We detail the quantity of devices and the complexity  of the installation, to have a quick estimation of investment to be done.  We adapt the methods  of Scrum project management for our analysis (e.g., energy saving calculations, investment to  be done, client reports, training etc.)  through specific virtual workshops between engineering,  marketing and sales, in an effort to become more agile. Our key stakeholder the CEO also  participate on the virtual meetings, made it in two weeks.

Then we went to one of friend client and explain the survey to be done and figure out how value  we can add and money they can save. Also explain why we need their participation to complete  the survey with real data.

With main client data collected during next 4 weeks, we are in grade to select IoT platform  solution for them. In a two-week additional timeframe, we also add some specific survey from  other retail customer and adjust our business model to fit better our services offering.

Insight

With the application of the learning launch tool, we identified our assumptions and designed  launches to test these assumptions. We expect that customer information plus our own  expertise and new ideas will be applicable on most of retail customers with many distributed  branches across country. Also we can convince our key stakeholder the CEO to invest on a new  IoT platform, train our engineers in the use of the new tool and perform trials on key clients to  demonstrate the new service capability. Moving forward, we will review this insight and  incorporate it into future launch designs for another type of IoT service offering. The ongoing

incorporation of insight is particularly important at this stage, as launches come before a full  rollout in the design thinking timeline.

Approach

Our team successfully achieves customer needs to select this new IoT services, based on a Cloud  IoT model, using several design thinking tools in timeline, confirming that learning launch is the  appropriate tool. In the near future, we can review and update the insight gained from our first  launch trials and incorporate this insight into future launch designs. The new launch designs will  reflect insight learned, clients progress made, internal knowledge and third parties new in order  to made a stable solution of IoT suite of services ready for future rollout applications.

