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ToolsGroup is First to Raise Demand Forecasting Accuracy by Embedding Machine Learning Technology

March 4, 2014

BOSTON, March 4, 2014 /PRNewswire/ — ToolsGroup, a global provider of market-driven demand analytics and supply chain optimization software, is the first vendor in its class to embed machine learning into a commercially available demand forecasting product. The new technology has been proven to significantly improve forecast accuracy in major global customer installations (see below).

Forecast accuracy is an important driver of business outcomes. Analyst firm Gartner writes, “Benchmarking data of 70 supply chains across multiple industries shows the best forecasters gaining the following: 15% less inventory, 17% stronger order fulfilment and 35% shorter cash-to-cash cycle times.” (Gartner How Good Is Your Forecast? by analysts Noha Tohamy and Debra Hofman, published February 11, 2011).

Yet most demand forecasting systems today often produce disappointing results and significant forecast errors. The standard models found in these systems cannot easily identify trends in the data. Their inability to model the underlying causes of demand variability can also lead to poor trade promotion execution and failed new product launches. And they can be manually intensive, resulting in poor planner productivity.

A data-driven approach using more intelligent software has been shown to improve forecasting accuracy. ToolsGroup’s innovation is to embed machine learning technology into its SO99+ forecasting solution to solve problems that planners face every day and yet have vexed organizations for a long time. It harnesses the power of machine learning to accurately model demand in difficult forecasting scenarios such as trade promotions, new product introductions, extreme seasonality and product cannibalization.

Machine learning takes demand forecasting to new heights because older technologies didn’t solve the difficult problem of measuring the impact of external stimuli on baseline demand. ToolsGroup’s demand modeling creates a reliable baseline, then uses machine learning to adjust the baseline by identifying the effect of stimuli and demand indicators at a detailed channel level. It analyzes all the relevant variables and the complex interactions among them in a highly automated fashion.

ToolsGroup’s machine learning technology creates a major improvement in demand visibility, forecast quality and level of forecast detail, which are all critical for reliable supply chain planning. It has already been successfully deployed in the forecasting process of multiple clients, including:

    --  Leading food company Danone deployed it to identify the effects of
        promotional and media events. Its trade promotion forecasting covered a
        wide range of fresh products characterized by dynamic demand, short
        shelf life and the need for accurate demand forecasting. The project
        resulted in a 20% reduction in forecast error, 30% reduction in lost
        sales, and a 10 point ROI improvement in promotions.

    --  Leading heating and air conditioning (HVAC) manufacturer Lennox deployed
        it to sift through hundreds of thousands of SKU-Locations to identify
        "clusters" of those with similar seasonality profiles. Defining
        seasonality groups for forecasting was very challenging due to many slow
        moving parts, diverse demand behaviors, and an extremely seasonal
        business. Machine learning has allowed Lennox to automate the process
        and create an improved inventory mix over its large distribution
        network.  "By enhancing our seasonality clusters, machine learning
        substantially increased our peak period forecast accuracy and improved
        our supply chain responsiveness during a period of strong growth,"
        according to Keith Nash, Vice President, Supply Chain Logistics, Lennox
        Residential.
    --  Other ToolsGroup customers are using machine learning for new product
        introduction (NPI) to identify which new products will have
        significantly above average sales. Identifying those successful new
        products early on allows companies to determine  the most advantageous
        way to allocate additional marketing, purchasing and replenishment
        resources to "up and coming" products.

ToolsGroup CEO Joe Shamir said: “After pioneering machine learning to enhance demand forecasting, we are excited to have taken the next step to embed this technology into our standard product footprint. We are proud to be the first supply chain planning vendor to offer a seamless solution to improving demand planning and forecast accuracy through this new technology.”

ToolsGroup’s embedded machine learning is available as part of its SO99+ version 7.3.1 demand forecasting solution. An embedded approach also has the benefits of shrinking the software footprint, integrating the forecasting process, and offering users a standardized solution.

About ToolsGroup

ToolsGroup is a global provider of “Powerfully Simple” supply chain planning and demand analytics software. Our customers overcome volatile demand and challenging supply chains to generate accurate forecasts and outstanding customer service levels with less global inventory. Reliable behind-the-screen technology and scalable statistical models enable highly intelligent data-driven decision making, combined with ease of use. ToolsGroup’s solutions span key supply chain planning areas such as Demand Forecasting and Collaboration, S&OP, Demand Sensing, Promotion Forecasting and Multi-Echelon Inventory Optimization.

About Lennox Industries

A worldwide leader in residential and commercial heating and air conditioning systems, Lennox Industries Inc. is based near Dallas, Texas, and is part of Lennox International Inc.’s Worldwide Heating & Cooling business segment. Lennox Industries is a subsidiary of Lennox International, which operates in over 100 countries and is a global leader in the heating, ventilation, air conditioning and refrigeration markets.

About Danone

One of the fastest-growing food companies in the world, Danone is present in over 120 countries on five continents. In 2010 Danone had more than 160 production plants and around 100,000 employees, generating sales of EUR17 billion. The group holds top positions in healthy food through four businesses: it ranks # 1 worldwide in Fresh Dairy Products, # 2 in Bottled Water and Baby Nutrition, and is Europe’s # 1 Medical Nutrition company.

CONTACT:

Jeffrey Bodenstab

1-617-263-0080 x1013

jbodenstab@toolsgroup.com

SOURCE ToolsGroup


Source: PR Newswire



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