Category Archives: Line Item Profit Analytics

234. Automate the Picking of Your Losing, Small-Dollar SKUs

Many distributors assume that they can handle one more warehouse order for free. Aren’t – all warehouse operational-costs fixed in the moment? And, isn’t – keeping people busier good? Alas, no! Let’s look at the cold statistics for a contractor-supply distributor’s monster, Central Distribution Center (CDC).

Continue reading 234. Automate the Picking of Your Losing, Small-Dollar SKUs

220. Election Polls, Smart Risks and Dumb Mistakes

Lessons from Bad Polling Forecasts

Massive money was spent on polls and flipping Republican senate seats. Alas, no Blue Wave happened. Key lessons:

  1. Models – based on past results for a complex, ever-changing system – don’t accurately predict the future.
  2. Money wasted on “dumb bets” (like the $300MM democrats spent trying to flip 5 Republican senate seats unsuccessfully) can’t also be invested into smarter risks.
  3. If you want to get rich, you must have vital information – about stable systems – that no one else has and upon which you can act.

Continue reading 220. Election Polls, Smart Risks and Dumb Mistakes

181. ALL-WIN, QUID PRO QUO (QPQ)

QPQ For The Good

Politics is giving QPQ a bad reputation. But, “this for that” can also be a selling tool for turning win-lose customer requests into win-win outcomes.
Distributor reps can use QPQ for transactional fairness.

“Mr. Customer: you want a lower price? Understandable! How can we turn a – you win, I lose event – into a win-win transaction? Perhaps a bigger order or the promise of greater future purchases?”

Continue reading 181. ALL-WIN, QUID PRO QUO (QPQ)

175. Melting-Unicorn Wisdom for Distributors

Unicorn Melt-Downs?

Valuations for WeWork, Uber, Blue Apron, etc. have been tanking. They all prove that a company’s business service-cost model can’t spend more costs on a unit of activity than the unit’s margin-dollar content, and then make it up on volume.    

The same economic reality hit many retail dotcoms back in 2000. Remember eToys? In ’99, they were averaging $20 in margin per order while spending an all-in cost of $300 per order for fulfillment.

Continue reading 175. Melting-Unicorn Wisdom for Distributors

174. Doctors Prescribe: “Evidenced-Based Management”

“Data-Driven Decision-Making” vs. HiPPO Wisdom

When decisions are made at Amazon, “the best data and innovation metrics” win. No hearsay, golden-gut, follow the herd, or political self-interest beliefs. The HiPPO (Highest Paid Person Opinion) in the room doesn’t win with suck-ups bobbling in agreement. Continue reading 174. Doctors Prescribe: “Evidenced-Based Management”

170. Boost Your Corporate Analytics IQ

Poor ROI For Analytics Investments?

Corporate America (distributors included) is overwhelmingly NOT getting results from new analytical insights. Test your company’s Analytics IQ against:

  1. The number of analytical-dimension tools that you have
  2. The buy-In rate for new insights
  3. Your success rate at turning insights into results

The 4 Lenses: Financial + Three Service-Profit-Chain

Everybody uses financial analytics (lens 1). Distributors should also get/invent analytics for the three dimensions within the “Service Profit Chain”(SPC) (Google the term.) The SPC simplified: best quality people (lens 2) deliver service (lens 3), that yields(customer retention) profits (lens 4).  

The SPC outlines how Costco can pay (v. Sam’s/Walmart) 141% more per employee to get 157% more sales and margin dollars. And, how Costco also has legendary customer loyalty, and better sales growth – while selling at a measly margin of 13%.

These four analytical lenses each have blind spots. For example: “Inventory management” from a financial perspective stresses “Turn-and-earn” with minimal “dead and excess stock investments”. But, service-value and people-productivity lenses spotlight “fill-rates”.

Best fill-rates (tuned to a target-customer niche) from one location reduce outages which:

  1. Erode service-value
  2. Cause small-dollar, back-orders and interbranch, split-shipments
  3. These, in turn, boost transactional costs while lowering productivity and morale.

Seek the best total-economic balance!                           

And, Sell More!   

Financial thinking stresses pumping sales (and margin dollars) for economies of buying and operational fixed costs. Plus, get those fatter rebates from best-bribing vendors.   

But, service analytics asks:

  1. Grow sales from which target customers with what unique, service-value proposition? Selling commodities to all customers with standard service creates no service-value equity.  
  2. And, do all employees know the most net-profitable (potential) target-customers? And, how/why they should allocate extra service-hustle to them?       

Customer Profitability Analytics (CPA) Informs All 4 Lenses, But…

Most distributors are 110% focused on financial-belief activities. CPA reveals that some big, and many small customers, are unprofitable. Then, those who are incented on any sales/margin volume, resist. Why low buy-in for insight-plays that logically will deliver greater wins for all?  

Four Nobel Prize winners (over the past 40 years) have proven that our brains are riddled with cognitive biases. Stubborn, short-cut, data-free beliefs win over longer-term realities.    

For More on 4-Lens, Big, All-Win Gains:  

Book an initial (free) C-suite, virtual session with me (bruce@merrifield.com). And, for Waypoint Analytics clients, join me at the workshop in Phoenix on November 7th (link below).    

WayPoint Institute 2019