How LLamasoft Is Designing Success For Customers’ Supply Chains

Ann Arbor, Michigan-based supply chain design software business LLamasoft is considered one of the fastest growing technology companies in North America. The company was founded by Don Hicks and Toby Brzoznowski in the late 1990s, and offers a number of innovative solutions that help some of the world’s best-known brands make smarter, faster decisions about their supply chain operations.

Its flagship software, Supply Chain Guru, is used for optimizing and simulating supply chain network operations and modeling potential changes based on performance, costs and risks. Last year, LLamasoft released Supply Chain Guru X, the newest generation of its software, which enables companies to build living models of their end-to-end supply chains. Customers can easily visualize inefficiencies, optimize for significant improvements in cost, service and risk, and test hundreds of potential scenarios for continuous supply chain improvement and innovation. Also released was Demand Guru, a new solution that empowers companies to improve their supply chain design and strategic business initiatives by incorporating powerful causative demand modeling.

In 2012, LLamasoft raised $6 million in funding, led by MK Capital. Nike also became a strategic investment partner that year, taking a minority share in October. Jumping forward to 2015, LLamasoft had a big year – acquiring IBM’s LogicTools supply chain applications business, raising $50 million in Series B funding from Goldman Sachs to fund expansion and R&D, and acquiring South Africa-based Barloworld.

Several months ago, TPG Capital, the investment group behind companies like Uber, McAfee and Airbnb, invested over $200 million in LLamasoft after seeing great promise in the company and fully understanding the value its technology delivers to customers.

Today, LLamasoft counts among its 700 customers companies such as Michael Kors, Land O’ Lakes, Johnson & Johnson, and Wayfair. The company estimates that it signs 30 to 40 new clients per quarter. When I asked Brzoznowski if he could share some of LLamasoft’s customer success stories, he pointed out a few recent examples of customer use cases including Michael Kors, U.S. Silica, Hewlett-Packard and Johnson & Johnson.

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Supply Chain & Big Data ÷ Analytics = Innovation

Google the term “advanced analytics” and you get back nearly 23 million results in less than a second.

Clearly, the use of advanced analytics is one of the hottest topics in the business press these days and is certainly top of mind among supply chain managers.

Yet, not everyone is in agreement as to just what the term means or how to deploy advanced analytics to maximum advantage.

At HP, the Strategic Planning and Modeling team has been utilizing advanced operational analytics for some 30 years to solve business problems requiring innovative approaches.

Over that time, the team has developed significant supply chain innovations such as postponement and award winning approaches to product design and product portfolio management.

Based on conversations we have with colleagues, business partners and customers at HP, three questions come up regularly – all of which this article will seek to address.

  1. What is the difference between advanced and commodity analytics?
  2. How do I drive innovation with advanced analytics?
  3. How do I set up an advanced analytics team and get started using it in my supply chain?

Advanced analytics vs. commodity analytics

So, what exactly is the difference between advanced analytics and commodity analytics? According to Bill Franks, author of “Taming The Big Data Tidal Wave,” the aim of commodity analytics is “to improve over where you’d end up without any model at all, a commodity modeling process stops when something good enough is found.”

Another definition of commodity analytics is “that which can be done with commonly available tools without any specialized knowledge of data analytics.”

The vast majority of what is being done in Excel spreadsheets throughout the analytics realm is commodity analytics.

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