Internet of Things (IoT) and big-data analytics imply the development of supply chain analytics (SCA). Despite industries recognizing SCA's potential benefits, its utilization is not massive yet. The study aims to develop reports based on the descriptive-analytic task of SCA for the electric motorcycle business with a swappable battery system. There are two goals: 1) exploration of the business process and the data generated by IoT from the electric motorcycle industry, and 2) generating descriptive analytics for minimum attribute data from the company to get insights about swap transactions at their battery swap station locations. We used general questions that usually will be answered by the descriptive-analytic task for generating some visualizations of the data. As a result, the company knows that about 60% of the battery swap stations have transactions below the average, peak time at 7-10 am and 1-6 pm, and most of the transactions are conducted on Thursday and Friday. The other result is that there are five questions or decisions that the company should deeply review.