my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data...

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Z A R A my agile role model clarke ching Zara Dundee - from wikipedia

Transcript of my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data...

Page 1: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Z

A

R

A

my agile

role

model

clarke

chingZara Dundee - from wikipedia

Page 2: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Zero

Two

Hundreds

Thousands

How many rugs had Habitat made when this survey / advert ran on

Facebook?

Page 3: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Problem (1975):

I have too many German

Knickers on my hands.

Solution: Build a global

manufacturing and retailing business &

become the 3rd richest man in the

world (2014).

I didn’t do what my competitors

did. Amancio Ortega Gaona

Page 4: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Part I - The Problem

Page 5: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

In September they start designing next Summer’s stock.

In September they start designing next Summer’s stock.

If only they had a way of forecasting what would be

popular!

In November they forecast how many of

each product/size/colour to manufacturer

In December they start manufacturing (often overseas

where it’s “cheaper”).

In May the stock hits the shops & the popular stock

sells out quickly.

In July they start discounting…

In August they start scrapping …

I figured out how to do that … by not forecasting.

They could sell everything at full price, make more

happy customers & make a lot more money!

Page 6: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

In September they start designing next Summer’s stock.

In November they forecast how many of

each product/size/colour to manufacturer

In December they start manufacturing (often overseas

where it’s “cheaper”).

In May the stock hits the shops & the popular stock

sells out quickly.

In July they start discounting…

In August they start scrapping …

Requirements 300 pages

Change requests

= Long range Forecast An educated guess! An estimate

Some stuff we need, Some we might need.

Unimportant stuff

Missed sales

Discounts & scrap

Important Stuff

Missing stuff

BloatDesirable

&Required

High-MarginsalesRetail

Product Development

Page 7: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Part 2 - The Solution

Page 8: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Small batches = 15 days from

“Concept to Cash”

Demand Driven (pull)

Designa new product

Make a small batch

Distribute

Sell

YesDid people

buy it?

£€$

Scrap

No

Tightly Integrated Feedback Loop- product development & manufacturing & distribution & retail.

• Empirical & Experimental • Data (cash-register) driven

Very low cost-of-failure

Only sell popular stuff

I figured out how to do that … by not forecasting.

My customers visit often

because my stock changes

often It’s fresh.

Bonus: If a Zara

product becomes “cool” we ramp up

production pronto

I sell loads at high margins.

Page 9: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

We figured out how to do that … by not

forecasting.Requirements 300 pages

Change requests

= Long range Forecast An educated guess! An estimate

Some stuff we need, Some we might need.

Unimportant stuff

Missed sales

Discounts & scrap

Demand Driven

Important Stuff

Missing stuff

RequiredBloat Product Development

Retail

Desirable&

High-Marginsales

Foundations Ground floor

1st floor2nd floor3rd floor4th floor

What’s

next?MVP?

Page 10: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Failure demand:

- “We’re getting loads of problems with BLA … we need to fix BLA.”

Market demand: (from sales figures or customer’s comments)

“OMG the customers won’t buy this product because the competitor has this, but we don’t”

“The customers HATE This. It’s hard to use / hard to sell.”

Capacity demand: (from analysis or looking around)

“We’re selling so well but we need to Automate processes A, B and C”.

“The cancellation process needs to be self-serve.”

“We are selling so we need more disk space.”

Page 11: my agile role model · manufacturing & distribution & retail. • Empirical & Experimental • Data (cash-register) driven Very low cost-of-failure Only sell popular stuff I figured

Small batches = 15 days from

“Concept to Cash”

Demand Driven (pull)

Designa new product

Make a small batch

Distribute

Sell

YesDid people

buy it?

£€$

Scrap

No

Tightly Integrated Feedback Loop- product development & manufacturing & distribution & retail.

• Empirical & Experimental • Data (cash-register) driven

Very low cost-of-failure

Only sell popular stuff

What does Zara add to Toyota?

product Development Manufacturing Retail

Manufacturing

Retailing

Product Development

(years)

dayszara

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Harvard Business Review, November 2004