Tag Archives: strategic

How LLamasoft Is Designing Success For Customers’ Supply Chains

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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

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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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5 Data-Driven Supply Chain Challenges to Overcome in 2016

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Supply chain, sourcing and procurement executives are feeling immense pressure to cope with the expansion into global markets, waves of disruptive innovation, rising customer expectations and complex regulatory requirements. These are catalysts that require supply chain management strategies to become bimodal and to make a shift from tactical to strategic.

In addition to the sourcing of goods and services, cost management and internal stakeholder compliance, executives’ responsibilities will include the ability to promote and support the top line. They have to be a trusted advisor to internal business partners and will have a tremendous impact on the success of an organization engaging with suppliers, managing relationships with strategic vendors and solving business problems.

For 2016, I see leading supply chain organizations making these top-five data-driven supply chain management challenges a priority.

1. Meet Rising Customer Expectations on Supply Chain Management

2. Increase Costs Efficiency in Supply Chain Management

3. Monitor and Manage Supply Chain Compliance & Risk

4. Make Supply Chain Traceability and Sustainability a Priority

5. Remain Agile and Flexible in Volatile Times and Markets

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Two thirds of buyers not managing supply chain risk effectively

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Almost two thirds of buyers think their organisations are not managing their supply chain risk effectively.

Responding to a mini-poll held during a webinar organised by Supply Management in association with business information publisher Bureau van Dijk, 63 per cent of listeners said they didn’t believe their organisations managed threats in the best way.

Ted Datta, BvD’s strategic account director – London, said a majority of negative response underlined the increasing awareness among companies and buyers of the key importance of good supplier risk management. This was increasingly important because legislation was covering new and wider areas, said Datta.

“Know your suppliers, business partners and third parties,” he said, emphasising buyers needed to be up-to-date with new risks as situations changed every month. Datta said as there was so much information to monitor, companies could segment their supply base to identify key strategic suppliers and monitor those suppliers ‘in real time’ or as frequently as possible depending on their resources. Others could be reviewed in a more structured way, he said.

David Lyon, head of procurement at Cancer Research UK, told the webinar, Enhanced supplier due diligence: the implications for supplier risk management, reputation was vital for a charity and it had to ensure suppliers were aligned with its core purpose. “As an organisation that spends 80 per cent of every pound donated on our core mission of research, we must work hand in hand with all our suppliers,” he said.

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