LeanDNA Delivers Automated Data Tools for Manufacturing

With over 25 years’ experience in supply chain and manufacturing, LeanDNA's CEO and founder, Richard Lebovitz, had a front row seat as factories and supply chains became exponentially more complex spaces reflecting the changing demands of customers globally. Richard was also keenly aware that many of the management, reporting, and analytics systems used by supply chain professionals had lagged behind in their advancement. This left many manual systems in place that were ripe for human error, bias, and inefficiencies. Richard felt that there were many ways to improve efficiency and profitability for the world’s most complex supply chains.

LeanDNA was launched in 2014 with the goal of bridging the gap between more complex supply chains and their outdated, labor-intensive methods for reporting, analytics, and lean project management. The goal hasn’t changed today, and as the LeanDNA team has grown, its commitment has grown with it. The company envisions disrupting the global supply chain space as they provide professionals with tools that make their work easier and their decisions more profitable.

Based in Austin, Texas, LeanDNA brought together the best minds in supply chain and advanced computer engineering to create the most effective prescriptive analytics and decision support platform for supply chain professionals in the world. Years of combined experience deliver a purpose-built solution that uses industry best practices to streamline everything from reporting to ordering policy to colleague collaboration. LeanDNA uses advanced artificial intelligence (AI) to analyze the ERP data, and then applies purpose-built algorithms to the data, in order to deliver forward-looking insights. No more living in the past or guessing at next steps. LeanDNA has created a better way.

"We were looking to improve our on-time delivery and needed help identifying where to focus our efforts. By collaborating with LeanDNA to identify the information we needed, our purchasing team has been able to reduce shortages by 35 percent in six months and improve customer OTD by 23 percent. LeanDNA helped us prioritize our efforts by providing a collaborative platform from which to quickly identify shortages in critical customer shipsets each and every day and share that information with those who needed it," said Scott Chambers, Data Analyst, Safran Cabin Bellingham.

AI-based Inventory Management

LeanDNA can optimize Supply Chain Inventory while improving Delivery Performance. This can help avoid costly shortages and excesses before they occur. The company helps employ cutting-edge artificial intelligence to optimize inventory levels for every part and avoid shortages. From a single dashboard, LeanDNA’s out-of-the-box prescriptive analytics solution lets buyers easily see the inventory opportunity, understand the root cause of the situation, and take action. This means that bottom-line results are immediate, and inventory disasters are averted. Shortages and excesses can be addressed with cross-site collaboration, and action messages are automatically prioritized according to real business value. "LeanDNA brought to light the opportunities to work with our suppliers to optimize our inventory levels and delivery performance. LeanDNA really did help address a lot of these key areas for us," said a VP of Continuous Improvement, Global Aerospace Materials Manufacturer.

LeanDNA’s out-of-the-box inventory optimization solution is purpose-built by supply chain experts. Cutting-edge artificial intelligence prioritizes ERP action messages based on real business value and automatically adjusts order policies according to changing demand and supply chain conditions. Inventory visibility is available in real-time across all sites, and data from multiple ERPs is aggregated into a single data model. It provides easy access to information for all stakeholders. Smart, fast, effective inventory management starts with LeanDNA.

Supply Chain Analytics

LeanDNA provides easy-to-use, actionable reports to identify and drive inventory reduction opportunities within the factory. The reports contain drill-down part data to facilitate detailed analysis of key procurement data – including current ERP order policies and recommendations for order policy changes.

The company's Procurement Analytics reports help identify opportunities for inventory reduction, prioritize the quick wins, recommend key action items, and follow-up on action status for each individual user. The Procurement Dashboards allow users to monitor key information on inventory opportunities and actions, including follow-up status and potential savings. Its reports and analytical tools perform analysis and sizing of parameters such as Fixed Order Quantity, Min/Max, and MOQ / Lot Size. LeanDNA provides a Price Break Analysis tool to calculate MOQ / EOQ based on a total cost optimization model considering carrying costs, cost to place an order, and order frequency.

The Leader

Richard Lebovitz, President and CEO

Richard is the founder and CEO of LeanDNA, a cloud-based actionable intelligence platform, built by lean experts with powerful analytics and best practices operational dashboards. Requiring no on-premise software, it’s quick to implement and provides seamless integration with your current ERP system.

Prior to LeanDNA, Richard was the founder and CEO of Austin based Factory Logic, Inc. (acquired by SAP), which he started in 1997. He built Factory Logic into a leading provider of software that models the Toyota Production System, and won the Shingo Prize for Manufacturing Excellence in 2001. His unique experience bridges the world of shop-floor manufacturing and supply chain with on-demand analytical tools to support analysis and lean execution. He has led lean conversion projects in 15 countries that involved converting traditional enterprises to Lean manufacturing. Richard is also a board member for the Association for Manufacturing Excellence (AME).

"LeanDNA provides easy-to-use, actionable reports to identify and drive inventory reduction opportunities within the factory."