Case Study: HMTX





flooring manufacturer

a premier designer, manufacturer, distributor and marketer of resilient flooring

business challenge

to gain visibility into specific cost-to-serve and profit performance insights and opportunities across the product portfolio using Artificial Intelligence (AI) and Machine Learning (ML) technology



This project has been a perfect example of taking this new complex frontier of AI and boiling it down to a level of actionable results.
Brian Greene • Chief Supply Chain Officer • HMTX


solution

operational assessment & strategic capacity analysis

descriptive • diagnostic analytics
supply chain • finance

data assurance • cost to serve and profitability visibility • product segmentation • inventory




  • Data:
    provided the capability to have repeatable data integrity from siloed operating data for "One Version of the Truth"



  • Insight:
    highlighted differences between Standard/Gross Profit and Net Landed Profit Margin (9.64%)



  • Insight:
    demonstrated that over 1/3 of total SKUs were unprofitable



  • Insight:
    spotlighted the highest revenue performing SKU was unprofitable and the 5th worst SKU by Net Landed Profit



  • ROI:
    one pinpointed profit improvement area provided a 640% ROI for the entire project expenditure






The results illustrated in this case study are specific to the particular situations, business models, data input, and computing environments described herein. Each Competitive Insights (CI) customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. CI does not guarantee or represent that every customer will achieve similar results.