Big Data for Manufacturing

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1 Big Data for Manufacturing Four use cases for optimizing product offerings and supply chain while discovering new opportunities for competitve advantage.

2 Product Complexity Companies that offer highly configurable equipment often struggle with an expansive list of product offerings. A steady stream of customer requests leads to an enormous list of options for customers to choose from. Customers and manufacturers alike end up suffering under the long list of product offerings. Manufacturers carry the burden of offering, storing, and building a huge variety of end products, while customers are overwhelmed with the number of options. This expanded product variety also leads to an interesting big data problem. If each spec sheet has ten or more input variables and a manufacturer sells a significant number of custom orders, it s difficult to understand just how many configurations of each model are being sold. A manufacturer could easily tell you the number of Model Xs sold in 2013 in red, for example, but it becomes more difficult to calculate the number of Model Xs sold in 2013 in red with a specific tire tread, three different pneumatic attachments, and air conditioning in one specific region of the country. Creating a complex, real time analysis of the many different models, and each of their varying product options, from all of the items that were sold, quickly becomes a complex, highly dimensional data problem that is impossible through pivot tables. Today advanced analytics software for manufacturing digests sales and configuration data to automatically deliver the models that will satisfy most customers needs and can even suggest changes that will fulfill the needs of even more customers.

3 This is the age of information the age of big data. As we enter it, it s clear that neither life nor business will ever be the same. And already, manufacturers who have found the new alchemy of turning data to value are recording record profits and climbing to new heights of productivity. Travis Hessman IndustryWeek Associate Editor

4 Supply Chain Optimization When a manufacturer s configuration data is this complex, chances are the supply chain is equally complicated. The capability to create a highly customized product means that the multitudes of add-ons, options, and attributes must be ordered, stored, and delivered. This leads to high carrying costs and locks a great deal of resources into the supply chain. Inventory and supply chain costs creep up slowly and often go unnoticed by manufacturers until a tipping point is reached. With advanced analytics tools a manufacturer can discover enormous cost savings: The first opportunity for cost savings is through an optimization of product offerings. By developing a smaller number of product offerings that address the needs of more customers, a manufacturer can reduce the parts inventory they must carry in anticipation of custom orders. Analytics solutions also reduce the supply chain burden through predictive analytics. With better data manufacturers can be more predictive about the seasonal and year by year demand for different features and models. This not only reduces costs, but can help maximize sales and reduce the time that finished low-demand models sit before they are sold.

5 We d think of an option and just add it to the product, and we d keep adding and never delete anything. We felt like we were taking something away from customers if we removed an option. With so many options, our planning was poor, leading to longer and longer lead times. Jacky Williamson Ditch Witch Pricing, Product Structure, and Target Costing Manager

6 Guided Selling As manufacturers have embraced the web they have created new ways for customers to spec and build products. Configurators help customers and salespeople to build out orders with exactly the right specifications. However, this capability can also lead to an unpredictable supply chain or high carrying costs. New analytics solutions can be the bridge between a customer who has a specific problem to solve and the product that will fit those needs at the lowest cost for the manufacturer. Smart configurators, guided by advanced analytics provide manufacturers and their customers with a much smoother, mutually beneficial buying process. A unique solution pioneered by Emcien is the ability to automatically guide sales people or drive a configurator towards smarter, existing models. The buyer gets a model that fills all of their requirements faster and for less than a customized model while the manufacturer can deliver an existing product faster and cheaper, reducing the build costs and the time that products sit in inventory.

7 Emcien provides industry leading patternbased analytics solutions for optimizing product proliferation across the enterpreise as well as for taming the complex process faced by the modern sales force. John Bruno NCR Corporation, Chief Technology Officer

8 Product Competitiveness Emcien s software features a technology that gives manufacturers a unique competitive advantage. Manufacturers that have highly configurable products are often asked to match a competitor s solution and price. The old response to this request was for a salesperson or the customer use a configurator or build a similar model by approximating features. Emcien software allows sales representatives and even the customers themselves to enter a competitor s model and return the best match for a competing product. Each competitor s product offering and it s corresponding feature are entered only once and the API delivers the model and configuration that best meets the customer s requirements. It has never been easier to answer the question, What do you have like this one?

9 Manufacturing Solutions Built for the Bottom Line Emcien s suite of software provides a complete and automated analysis of structured and unstructured data. For manufacturers, Emcien s software computes sales and configuration data to provide configurations that will provide the greatest impact to the bottom line. With Emcien s solutions, manufacturers can: Reduce the number of custom, one-off orders Get a big-picture understanding of your product offerings Discover the exact product configurations that meet the needs of most customers Automated APIs to create an intelligent configurator Data-guided selling to direct sales towards most appropriate models and configurations Minimize build costs and reduce carried inventory