The Smart Enterprise: Leveraging Mobile Data and Analytics to Make Better Business Decisions
By Samuel Mueller, CEO and co-founder, Scandit
Many supply chain executives are realizing that mobile initiatives are paying off more than they expected. Sure, they might have assumed that mobile solutions would provide greater flexibility and help cut costs—but there’s more to mobility than many think. One key benefit that is often overlooked is the enhanced visibility that mobile technology can provide when you’re evaluating your company’s performance.
Each mobile device that is deployed throughout an organization is collecting massive amounts of useful data. Every time a worker uses a mobile device, data is collected. For example, details about supply chain performance, inventory trends, sales figures, or asset location. The question is this: are you using that data in beneficial ways or is it just sitting untouched?
This data can provide unprecedented insight into your operations when it’s used correctly. Not only will it fill in the gaps that you have in your existing knowledge, but it will also help you predict what’s going to happen in the near future and even years down the road. This kind of business intelligence contributes to the bottom line and leads to smarter decision-making and improved efficiency. Let’s take a look at just a few examples.
When you leverage the business intelligence available from mobile devices to understand your customers’ requirements and have a complete view of your operations, you can closely evaluate your workflows and better predict upcoming orders and inventory needs. The efficiency boost that this provides leads to more efficient picking, increased employee productivity, and improved fulfillment.
Transportation and Logistics
Equipping drivers with mobile devices means that the efficiency of your delivery fleet won’t be a mystery anymore. Smartphones and mobile solutions work together to track assets and facilitate proof of delivery, and since that information is sent to the cloud, you can get real-time data at any given moment. You’ll have visibility into every truck, which will help you to understand shipping trends and optimize routes and load capacity so you can save money on fuel and make your drivers more productive.
At the same time, when you understand where an asset is at any given moment, you can provide up-to-the-minute status updates for your customers so they know exactly where their packages are. This level of visibility improves your customer service and drives loyalty.
Getting the right products in the right locations at the right time is the goal of any retailer, and mobile data collected from stock taking and order entry helps you understand inventory and customer demands so that can be possible. The result: increased sales and more efficient distribution of products.
Analyzing data on customer shopping behavior also gives you the opportunity to provide a personalized sales approach for each customer through mobile clienteling so you can increase the likelihood that you’ll make the sale and provide excellent customer service along the way.
Clearly, by integrating mobility into your operations, you’re not just taking advantage of the latest opportunities—you’re working to create new opportunities for your organization each and every day. Being data-focused will ensure that you stay ahead of your competitors. It’s time to get smart about mobility and find out what detailed data can do for your company and the decisions that you make.
Samuel Mueller is the CEO and co-founder of Scandit and is responsible for overall strategic direction, marketing, sales and business development. Prior to Scandit, Samuel was a management consultant and project leader for multinational companies such as Swiss Airlines, Swiss Re and IBM as well as a corporate researcher at the renowned IBM Zurich Research Lab. While at IBM, Samuel was awarded an IBM Research Division Award and a total of three IBM Invention Achievement Awards. He has authored numerous patent applications and has published his research results in leading conferences and journals. Samuel holds a PhD from ETH Zurich and graduated summa cum laude with an MSc in Computer Science and an MA in Financial Economics, both from the University of Zurich, Switzerland.