Category Archives: Big Data

Baseball’s Adoption of Analytics v. Distributors

Red Sox ‘02 v The Orioles ‘19  

Analytics have swept through Major League Baseball (MLB) over the past 17 years. The Oakland A’s got first analytical results. But, the Boston Red Sox were the first to go big in 2002. John Henry, the new owner, was a believer. He had gotten rich by trading commodities with his own invented analytics.   

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140. Channel-Model Innovations Ahead

BIG CHANGES BY 2020+?

Big players (Amazon, Walmart, Home Depot, etc.) are combining many technologies to create the onrushing Cloud Omnichannels to which B2B brands must respond.    

Amazon’s (AMZ) “doorstep-back-to-producers” value-channel is all in the cloud. It incorporates technologies like AI, machine learning, robots, and cobots. And, AMZ has already hugely pre-invested in exploiting 5G bandwidth, instant-startup-clone brands, info-videos with watch-me reward points, last-mile-uber-metro-delivery platforms, voice commerce, drones, fintech, blockchain, etc.      

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137. Amazon’s Channel-Model Innovation Challenge

LEVELS OF INNOVATION: INCREMENTAL, BUSINESS-MODEL, CHANNEL-MODEL

All businesses innovate. But, rearranging the deck furniture on the Titanic (an incremental innovation) is not as powerful as getting an iceberg-resistant ship or an ice-berg-free route.

Business-model innovation is when you rethink the system of how you organize your resources to create a breakthrough value for some target group of customers. You may also, simultaneously, eliminate wasteful or dying activities. Common phrasings: Weed to feed. Prune to grow. Downsize, Upgrade, Refocus and Revitalize. Do a “Blue Ocean Strategy”, etc.

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136. SELL WIN-WIN, LOWER PRICING (?)

PRICING EFFICIENCY ISN’T PRICING EFFECTIVENESS

Practice good-pricing hygiene. Don’t underprice SKUs or customers if they will continue to (happily) buy from you at higher prices. But, consider also the positive trade-off of lower prices in exchange for larger average order-size buying. What are your general buying and selling incentives for increasing order size?

CASE STUDY ON ORDER-SIZE ECONOMIES

For 2018, a $100MM contractor-supply distributor had roughly 4000 active accounts. More facts:   

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135. Fix Your CRaP Items and Their Root Causes

AMAZON’S WAR ON CRaP

Amazon’s analytics can identity SKUs on which they Can’t Realize a Profit” (CRaP). Even with their improving, world’s best fulfillment and last-mile delivery costs, they can’t cover costs on items lower than $15 per pick/order.

AMZ’s fixes to date?  

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134. The Small-Customer, Small-Order “Lollapalooza Effect”

Lollapalooza Effect: (A Charlie Munger term) When multiple cognitive biases reinforce one another within a group, irrational beliefs will take over.   

THE PROBLEM WITH SMALL CUSTOMERS WITH UNPROFITABLE, AVERAGE-ORDER SIZES

When distributors create a Cost-to-ServE (CTS) model to estimate and rank customers by net-profitability, there are typically two, customer-group shocks:

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