FutureChain

COVID-19 has reset the bar for food chains. Consumer confidence in the safety of our food chains is damaged, both in terms of those buying products and those manufacturing the products (think meat). The US FDA has gone all in on their New Era of Smarter Food Safety plan, which pushes technological advances and requires significant traceability reporting across 16 categories of fresh foods. Many countries are using this FDA work as a template for their own regulatory bodies, including Australia and the EU. Persequor is co-leading a new effort at USC to drive technology and food safety.

Persequor overview 3:14. How the food supply chain has been disrupted 3:51. Job losses and gains 5:10. Bullwhip effect 5:58. Food regulation 6:52. Uniform global set of standards for tracking and tracing 10:49. Consumer confidence in food safety impacted by education on risks 13:19. Pork production in Europe and how it differs from US 15:15. USC consortium for food safety 17:09. Restoring consumer confidence in Europe 18:01. Food manufacturing plant changes to adapt to COVID, most significantly impacted by regulation 22:26. FDA Smarter Food Safety Plan for 16 food categories 23:42. Technological advances from FDA plan, slow in food supply chain 24:58. Traceability in food safety planning 28:07. Sharing data across supply chain 30:11. EU “Farm to Fork” framework adopted from FDA 32:06. Australia adopting FDA framework 33:01. GS1 and EPCIS traceability 34:25. UN Sustainable Development goals, food waste 35:06. Developing countries rapidly adopting digital 38:41. Avoiding recalls with tracking and tracing 39:39. Legacy vs. new SCM tools 41:50. Importance of change management and leadership in adopting solutions 44:07. Five ‘Moonshots’ bit.ly/3bGcA22 (p72) for improving supply chains in a post-COVID world 46:33.

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.

Episode Notes:

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.

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

Episode Notes:

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.

Derek Mizysak, Supply Chain Director, for method products talks about the phases of SCM, lean tools and methodologies and blockchain.

Episode Notes:

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.

Nicolas Vandeput is a supply chain data scientist specializing in demand forecasting and inventory optimization. 

Episode Notes:

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.

Brian Reed of GEODIS discusses supply chain management solutions.

Episode Notes:

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.

Mike McComb, VP of Sales at Pitney Bowes for Global Ecommerce discusses what role Pitney Bowes plays in industry supply chains.

Episode Notes:

Ecommerce growth 4:35. 
Challenges for PB and shippers/brands/retailers/marketplaces 6. 
How fulfillment companies are responding with technology to deal with costs, labor, efficiency 8:20. 
Reverse logistics 11:30. SCM tools and platforms 16:30. 
FourKites aggregates transportation data 16:44. 
Fenix Commerce pre-shopping cart sku-level view 17:10. 
KPIs (uptime, tracking, timeliness, transaction time, continuous improvement) 20:56. 
Actionable insights 23:08. 
Predictive analytics, heatmaps for fulfillment 23:25. 
Payback 27:12. 
Lift 28:08. 
Future of SCM (WMS, robotics) 29:48. 
Break 32:14. 
Retail case study (Dark Store, Nordstrom) 32:54. 
Apparel (Rent the Runway, Le Tote) 34:45. 
Telco (flexible release dates for phones) 35:15. 
Health and wellness (influencers, direct to consumer) 37:42. 
Net Promotor Score 40:28. 
60% mobile purchase rate 41:00. 
Decision making systems 45:51. 
‘Eco-conscience’ brands 49:10.

Mike Lavaglio, the Director of Supply Chain Planning for Dexcom, discusses the diabetes medical device supply chain.

Episode Notes:

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.

Patricia Vasconcellos, formerly VP of Supply Chain for Flowserve, talks about circular supply chain, supply chain responsiveness, resilience and customer needs. Then closes with post-COVID-19 supply chain. 

Episode Notes:

00:34 - CSCMP 

03:22 - Circular supply chain, re-use of materials (Accenture, Philips) 

06:03 - H&M 

07:00 - EU estimates 12% growth in GDP from circular supply chain 

07:49 - Blockchain and IoT to build trust (Mastercard) 

10:40 - EDI 
11:51 - Sustainability 

15:39 - GAP, Starbucks, GE, Honeywell sustainability efforts 

17:25 - Data governance 

19:03 - Resilience of supply chains 

25:28 - Planning to manage risks 

27:40 - Break 

28:34 - Speed required to meet customer demand 

31:38 - Tesla, GM partnering with Medtronics and Abbott 

32:50 - Stockouts 

34:18 - Tiger teams 

35:26 - SCM tools: IBM Watson (AI), Amazon, Ariba 

40:12 - Payment processing inefficiencies 

41:08 - Transportation cost 

43:23 - Batch of one customization

44:03 - ‘Onshoring’ 

46:48 - Security 

50:36 - Freight forwarders 

54:55 - Break 

56:16 - Creativity for post-COVID-19 supply chain 

1:00:33 - Procurement tiger team to leverage demand and buy in bulk 

1:11:00 - Technology to manage labor costs 

1:11:41 - Synchronization through blockchain 

1:21:53 - Importance of training talent to “leap” 

Beyond COVID-19: how will healthcare providers leverage AI and analytics to minimize "supply chain disruption"​ in the post-pandemic era?

Episode Notes:

Supply, device and testing demand 4:10. 
Emergency Response Inventory Services Fulfillment Provider model 9:45. 
Financial epidemic caused by supply chain disruption 12:04. 
Amazon as a potential services fulfillment provider 14:04. 
McKesson, Amerisource, Bergen and Cardinal Health 16:15. 
Financial liquidity, Cares Act 20:09. 
Using predictive analytics, special analytics and machine learning for forecasting 23:30. 
Amazon fulfillment 24:18. Shaping demand 24:38. 
N95 Project 27:13. 
Blue Wonder 30:07. 
SAP, Oracle, Epicore, Infor/Lawson and Altryx 30:21. 
Tableau, Qlik and Power BI 31:31. 
Lean methodologies and six sigma 31:54. 
AI, analytics and integrating systems 33:16. 
KPIs to match business priorities 35:28. 
Altryx webinar on how to use descriptive and spatial analytics to locate hospital, inventory, testing center 41:13. 
Asset utilization 43:07. 
Using forecasting to repurpose empty hospital beds 44:45. 
Using spend analytics to identify most valuable suppliers 46:28. 
Using predictive analytics for collaborative demand forecasting 49:18. 
Using analytics to understand maverick buying 52:30. 
Using analytics for continuous improvement 54:34.

LinkedIn article: https://rb.gy/n9r9f7.