Saurav Banerjee (Saba) @decisionquant
Building Decision Quant to empower Supply Chain Professionals with Business-led AI. Blending big picture thinking & analytics-driven problem solving. saba01.bio.link Ex:@BCG, MBA:@KelloggSchool Joined January 2022-
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Demand forecasts fail when companies don't worry enough about prediction bias. A single 'median' forecast value has a 50-50 chance of overshooting or undershooting real demand. Why take that route? Rather, build probabilistic forecasts that minimize bias and stockouts.
Want to get better at demand planning? Collaborate with supply chain partners, exchange information, and together forecast demand. Don’t stop at customer orders, get better at reading customer behaviour.
Missing data health audits is a strong sign of limited supply chain planning. Improve your data quality to improve your decisions.
Biz. parcel pricing fundamentals explained: Small & medium shippers pay the price for supply chain inefficiencies... ... Introduced by same-day/next-day delivery demands of large E-commerce shippers. Having volumes is having market power is having pricing power. #SupplyChain
Every single quarter that container lines post historically high levels of profit means a bigger cushion against any reduction in demand. That also gives them more freedom to continue being stringent managers of capacity, and to hold lines on compensatory rates.
Q: What is more challenging than stalling or even declining demand? A: Rapidly volatile and shifting demand. Not many companies can deal with unpredictability. And yes, #AI can help.
Being available 24/7 does not build trust & credibility. Being consistent and predictable does. Enjoy the weekend!
"If I can fill 10% more orders on a timely basis, that will optimize our business rather than going out and collecting all the data in the supply chain" - Jon Kondo, CEO, Heavy AI Focus on small incremental use cases and gradually scale AI solutions. #SupplyChain #AI
How does delivery service-level predictions work? Variables such as # of drops per stop, time of delivery, etc. influence on-time delivery One approach: They map a binary categorical variable with "on-time" or "late" options with existing variables and run Logistics Regression
After dual-sourcing, dual product designs are catching speed. 'Resilience' in supply chains have become pretty hot stuff now. Flexibility is driving longevity. #SupplyChains
>45% of parcel costs are last-mile costs Google's Last Mile Solution promises better routing Yes, getting routing right helps. BUT, fixing: 1️⃣ Outdoor delivery labor model (in-house vs. outsourced) 2️⃣ Delivery facility network 3️⃣ Fleet capacity utilization Helps even more!
Why would UPS acquire a last-mile delivery orchestrator like Delivery Solutions? ➡️Some say UPS is diversifying to an asset-light model. ➡️I say UPS wants the drop-density data to selectively grow its network. Get the data, get the volumes & get the market share! #strategy
There can be many reasons that lead to a loss of supply chain control, BUT having visibility, building long-term partnerships and making data-driven decisions are not one of them. #supplychain
"The good news about computers is that they do what you tell them to do. The bad news is that they do what you tell them to do." - Ted Nelson To have conviction in your #supplychain decisions: Upskill, mix #AI to your years of industry know-how and work with the 'Black Box!'💻
Just like going after small wins regularly, snowball into big wins. Identify supply chain value pockets, go-after narrow applications of #AI. Try something less complex, less critical & less controversial. Extract value from it and get better at doing so. Rinse & repeat!
Supply chain frameworks are useless if they do not simplify decision-making.
A sustainable #SupplyChain does two jobs: Internal: Prepares for black swan disruptions to increase business longevity External: Prevents environmental disruption from spiralling out of control If the company supply chain does only one of the jobs, it does not do any of them!
Rolling pauses: 1️⃣ Cut total material & parts variable costs 2️⃣ Keep total fixed plant & union worker costs stable Hopefully, this keeps unit costs in check. Or else ➡️ Lesser # of cars, unused parts, idle plants & workers. Unit costs spiral out of control. Not an option.

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