FutureChain

Nicolas Vandeput is a supply chain data scientist specializing in demand forecasting and inventory optimization.
Data science in SCM 4:56. Small data 6:09. Historical sales/stockouts/marketing expenses data 6:40. Importance of data culture 9:11. Challenge of developing in house machine learning expertise 11:32. Statistical models for determining demand patterns 12:12. Open source, Python and R 14:47. Forecasting models 17:24. Building your own machine learning model 18:08. Overfit 18:49. Underfit 22:10. Selecting KPIs 23:04. Mean supply error 24:48. Bias 25:01. Forecast added value 26:02. Code used in production 30:15. Process of machine learning 30:38. Unsupervised learning 33:52. Norwegian car sales35:35. Off-the-shelf solutions vs having models built 38:22. What are outliers in the COVID-19 pandemic 42:21? Inventory optimization 45:24. ROI from machine learning 47:57.

"Data Science for Supply Chain Forecasting" now available here:  https://lnkd.in/dBm56q4

Jeremiah Pomerleau uses his experience with GoPro as a case study on building out procurement, logistics and global trade systems. Procurement 1:59. Air and ocean freight cost reduction 45-50%. Trade lane 7:44. Total Landed Cost 14:47. Trade compliance cost 24:32. Freight payment provider 28:19. Visibility/supply chain event management system 36:13. NetSuite 38:55. One Network 39:31. Excel for independent analysis 40:27. Shopify 41:42. FedEx Delivery Manager, UPS My Choice 41:55. G-Suite, Slack to inform ERP sourcing 42:33. Dashboard for 4 supply chains, 65! KPIs at Puls 44:37. Objectives and Key Results platform: Integration of G-Suite with Tableau for real time reporting 46:05. ROI 48:04. Forecasting impacting fulfillment 50:16. Collaborative, Planning, Forecasting and Replenishment (CPFR) 51:16. Break 52:14. Global Trade, import/export agencies/compliance (Export Control Classification Number) 52:39. The future of SCM solutions 1:05:27. NetSuite/SAP/Oracle visibility modules 1:06:03. Online marketplace for freight negotiation 1:07:07.

Brian Reed of Geodis discusses supply chain management solutions.

Planning and forecasting 4:47. Goal of building a platform 23:48. Blue Yonder, i2 25:01. SAP, Oracle 24:43. ROI: 25:03. 3PL, 4PL 31:56. Blockchain 36:45. ML, AI 40:06. Importance of service (Geodis, Ernst & Young) with tools 55:12.

Ashutosh Prasad, founder and CEO of KoiReader Technologies, talks about operational automation and edge computing. i2 supply chain system 13:30. Supply chain fragmented from a process & systems perspective 15:19. Arrival of NVIDIA, open source, AI 15:54. Edge computing 17:57. CargoWise 19:36. ROI of AI-based systems 22:10. Lean innovation 23:48. Auto classification of shipping goods through natural language processing 26:04. Warehouse automation inventory cycle counting 26:56. KoiReader’s edge computing platform 31. Applied AI 31:33. Contrast with H2O.AI 32:51. Operational intelligence 34. Operational automation 37:25. Making receiving process contactless 37:56. AI cameras 38:52. Applying operational intelligence to solve legacy problems 41:50. Analyzing TBs of warehouse data per second through computer vision 45:11. 5G/IoT future 48:31. Service vs. product approach 51:08. Partnering with customers 1:00:07.

Dr. Farid Harche formerly of British Telecom, Wipro, IBM and DHL talks about artificial intelligence in SCM.

Digital transformation in SCM 5:04. Machine learning and deep learning 10:30. Priority should be to organize data 13:03. Fail rate on solutions as high as 80% 13:35. Recommended SCM solution: C3.AI 14:53. Bias in data 19:10, 32:09. Data sovereignty 21:39. Blockchain 21:54. The importance of standards over regulation 23:33. GS1 25:14. Humans have a role to play in teaching AI systems to manage unknown risks 35:32. Cost-saving ROI 37:00. Supply chain will self-operate 49:47.

Mike Lavaglio, the Director of Supply Chain Planning for Dexcom, discusses the diabetes medical device supply chain. Type 1 diabetes continuous glucose monitoring focus 3:30. Look and feel improvements to device 6:08. Giving physicians and platforms access to data 7:11. 50% growth from G6 product, suppliers had to respond 9:26. JIT for a $B business 10. Nodes on plastics and electronics supply chain 10:48. De-risking the supply chain 12:54. Operating a clean room 14:27. Accelerating supply chain to grow inventory 15:22. Driving automation 17:25. Demand statement 18:25. Scenario planning 19:08. Facilitating MRP through Oracle 21:16. Capacity a priority for SCM system to facilitate growth 22:21. Predictability 24:49. Oracle improvements, Anaplan 27:30. Experienced/trained people are the ROI from systems 29:49. Predictive analytics to inform level of risk in the supply chain 32:59. AI for data analysis 35:04. Determining order cadence from customers to manage inventory 38:22. Confluence and Sharepoint 42:21. Dexcom warriors 43:35. Motivated by patients 46:09.

Dr. Manjeet Singh, DHL’s Director of Global Operations Science and Analytics, talks about how machine learning and artificial intelligence are changing the world of supply chain management. Convergence of data collection, processing power, techniques resulting in products like autonomous vehicle, SIRI and the jobs to support them 3:44. Meta data and raw data 6:38. There will never be full autonomy 7:38. DP DHL 9:18. DHL Supply Chain 9:48. Retail supply chain 12:10. DHL locating facilities to respond to Retail demands 13:17. Robotics for picking (Lead Me, Swarm) 15:00. Picking productivity 17:46. Managing transportation 20:31. Supply chain planning 21:05. USPS for last mile 21:53. My Supply Chain for tracking 23:02. Autonomous fleet trials 24:18. Ecommerce capacity and labor 25:33. Machine learning, advanced heuristics software 32. Idea toolkit to optimize picking 34:16. Value of training associates 39:37. Labor shortage 41:21. Carton Optimization Process developed through collaboration with academia 43:28. Consolidating training 47:44. D3TO platform to consolidate shipments 51:36. Supply Chain Guru from Lamasoft for network optimization 55:30. Apian, JDA 55:54. WMS Manhattan, JDA, SAP. Predictive/prescriptive analytics 57:16. Continuous optimization 1:00:36. Digitization 1:02:02. ROI, profit sharing with customers, 20-40% improvement in picking productivity 1:09:04.

Dave Malenfant, EVP of the Biotech Supply Management Alliance and Director of Outreach and Partnerships discusses COVID-19 supply chains and ML and AI-based SCM solutions. 4:04 Medical supply oversupply. 6:27 ESRI global map of hotspots. 7:21 Geographical Information Systems (GIS). 9:33 bullwhip demand. 9:58 medical device supply chain. 11:45 Group Purchasing Organizations. 14:04 risk management and contingency. 18:05 virus testing supply. 21:21 meat supply and demand. 23:44 collaboration among meat suppliers. 25:19 retail supply chains using AI to calculate demand. 30:15 logistics networks. 32:54 autonomous trucking fleets. 40:52 government procurement that reflects demand. 46:14 centralized allocation of supply. 48:32 tools and solutions, SAP implementation, JD Edwards, Ariba. 50:14 all solutions based on time, resource and scope. 55:49 enabling technology limits the need for staff. 57:35 predictive and prescriptive analytics to manage the supply chain. 58:27 the need for speed. 59:32 TCU Center for Supply Chain Innovation.

Derek Mizysak, Supply Chain Director, for method products talks about the phases of SCM, lean tools and methodologies and blockchain. Supply Chain Ninja 2:41. Demand for cleaning supplies 8:45. Integrated business planning process for Demand Planning 10:55. Inventory management 12:32. Machine learning and demand driven software 13:32. Importance of distribution centers (DCs) to managing demand 16:41. Lean methodologies to identify root causes 16:53. ‘5 Whys’ 18:50. DMAIC 20:26. Kaizen events 22:05. PDCA 25:13. Root cause analysis 26:17. KPIs 28:17. Value stream 30:29. Data visualization, Tableau, Power BI 32. Blockchain 35:28. SAP 37:01. COVID-19 highlights inefficiency in supply chain 44:54. AI & ML adoption curve 49:23.

Chris Winston discusses his personal and home care product experience with J.R. Watkins and Clorox.

Clorox supply chain 14:10. Supply chain management solutions used 22:30. Netsuite 24:50. Shopify, Magento 25:17. KPIs 26:15. Customization 27:14. ROI 28:12. Future of solutions 30:19. Break 31:14. Impact of tariffs on global CPG supply chain is to move away from China 31:36. Impact of COVID-19 on supply chain 35:40. Domestic suppliers building capacity 37:10. Demand for handwashing liquid 39:41.