Title: One Size Does Not Fit All
1One Size Does Not Fit All
- Using Size Analytics to Drive Sales
- Gale Weisenfeld
- VP, Planning / MIO
- Federated Department Stores
- April 28, 2006
2Agenda
- Introduction
- Company Overview
- Business Challenge
- Business Solution
- Role of Technology
- Implementation
- Critical Success Factors
- Collaboration
- Change in the Supply Chain
- CPFR
- The Numbers Tell The Story
- Business Example
- Lessons Learned
- Future Plans
3 About Federated Department Stores
- One of the nations leading department store
retailers - Acquisition of May Company will create 800 store
operation with projected retail sales in excess
of 27 billion in 48 states, Guam, Puerto Rico - Operates under the names of Macys,
Bloomingdales, Macys.com, Bloomingdales By Mail - Support operation of Macys Merchandising Group
is responsible for all aspects of Federated
Private Label management of FDS merchandising
systems
4Business Challenge
- Accelerate Federated Department Stores
- comp-store sales growth and increase the
companys profitability levels
5Why Customers Dont Buy
- Have you ever gone shopping and found the perfect
blouse / sweater / pants / shoes only to be told
sorry, we dont have your size - This is a missed sales opportunity of the worst
kind when the customer is in our stores, wants to
make a purchase, and cant because we dont have
her size - While alternate product offerings at the style or
color level might be substituted to complete a
sale, this is seldom the case for size stockouts
6Business Solution
- Federateds Size Selling Initiative was launched
in 2002 to develop and implement solutions that
resolve the issue of size stockouts - Drive regular price sales
- Reduce markdowns
- Improve margins
- Create a better shopping experience
7Using Technology to Analyze Sales
- Phase 1 Best Single Prepack
- Size Profiling Application (SPA) developed by
Macys Merchandising Group Federated Systems
Group - Adjust Fashion Prepacks to better match customer
demand - Track rate of sale on items to the size level
8Size Measurement Calculations
- Improve match rate between orders sales
- Analyze of sales by size
- Analyze of stock by size
- Objective Determine how did we sell the product
when it first came in to our stores BEFORE we
began to run out of sizes (Fresh Sales)
9Calculating Match Rates
- Variance Stock - Sales
- Match Rate 100 - Absolute Value of the
Variance - Example 100 - 20 80 Match Rate
10Applying Match Rates to Fashion Prepacks
- Fashion Prepack quantity 12 units
11Using Technology to Analyze Sales
- Phase 2 Multi-Prepack
- Create location level clusters based on
historical sales patterns - Every store doesnt need the same 12 pack but
how many prepacks is the right number - Every store isnt an equal contributor to sales
- Consider sales contribution by door cluster,
volume of program, overall cost to supply chain
when determining optimum number of prepacks
12How many ways can you sort a 12 pack?
13Why 12?
- Who was it that said 12 was the right number
anyway? - 12 is an even number
- As children, we learn to count by twos
- 12 hangars fits on a straight arm of a 4-way
- The box holds 12 pieces
- Sometimes a slightly smaller (10 or 11) or
slightly larger (13 or 14) prepack quantity can
yield a significantly better match rate
14Using Technology to Analyze Sales
- Phase 3 ROI Return on Investment
Reporting - Questions we were asking ourselves
- Did we make the right changes?
- Do we have additional opportunities?
- Are we making a difference?
- Evaluate sales performance against new prepacks
- Determine if further prepack refinement is
necessary
15Using Technology to Analyze Sales
- ROI Reporting includes WAS / IS comparison to
gauge ongoing impact of pack changes to key
business metrics - Regular Price Sales Sell Thru by Size
- Average Unit Retail by Size
- Stockout at X by Size
- Markdowns by Size
- By Location results are also available
16System Development Implementation
- Phase 1 Best Single Prepack (S02)
- Phase 2 Multi Prepack w/Location Clustering (S
03) - Phase 3 ROI Reporting (S04)
- Application currently deployed to approximately
100 users across all Federated divisions
17Critical Success Factors
- Incorporation of size analysis into the daily
business process - Senior Sponsor (President, MMG)
- Size analysis is not a special one-time project
- Timing, coordination with market schedule
- Increased workload before market meetings
- Change Management ?culture change with
significant impact to business process - Clear definition of roles / responsibilities
18Critical Success Factors
- Collaboration
- After gaining experience with Private Label and
having wins to talk about, Federated is
actively analyzing size selling for branded
vendors and sharing our findings with our vendors - Buying and allocating the right sizes is only the
beginning of the process - A genuine partnership between retailer and
supplier is critical in order to maximize sales
by size
19Collaboration
- Introducing Change to the Supply Chain
- Vendors need to evaluate their ability to
implement change in the supply chain to support
multi-prepack offerings - Resistance Obstacles to Change
- This is hard
- This is expensive
- Im not the right person to make this happen
- Can my company execute this accurately?
20Collaboration
- Achieving Change in the Supply Chain
- Vendors are migrating to a multi-prepack business
model - Vendors offering multi-prepacks have made
modifications to reflect different / additional
packs - If there is only a national pack (best single
prepack), FDS is defining the pack - Mutual Benefits
- Our vendors will share in the benefits of the
work being done with size analytics via increased
regular price sales and improved margins
21CPFRCollaboration-Planning-Forecasting-Replenishm
ent
- CPFR diagrams slides are courtesy of
- Russ Brown, Russell Corporation
- Fall 2005 AAFA ISC Presentation
22CPFRCollaboration-Planning-Forecasting-Replenishm
ent
23CPFR involves more than you might think.
24CPFR - - The cycle expanded
25Where does CPFR fit in?
26CPFR starts with a joint agreement
27CPFR encompasses review and understanding of
strategies data on both sides of the partnership
28The forecast starts it all.Is size analytics
part of this process?
29CPFR - - Manage the exceptions
- Identify and resolve exceptions to the forecasts
- Orders
- Receipts
- Fill rates
- Sales
30What have we learned?
- Our work with size analytics is ongoing
- Customers sizes are ever-changing
- Size Specs matter
- When is a large not a large?
- Know your fit model
- Things to consider
- Vendor
- Lifestyle
- Price Point
- Personality of the product
- Its not just about the numbers
- Collaboration is key
31Current Sizing Priorities
- Collaboration with our market vendors
- Now more than ever, as Macys becomes a national
department store, we need right product, right
place, right time, AND right size - The lead time to implement change in the supply
chain is long, frequently 9-12 months. We need
to work together to implement change faster. - Integration of size analytics into Federated
merchandising systems in order to gain workload
efficiencies - Ordering
- Allocation
32Discussion / Questions
- Gale Weisenfeld
- VP, Planning / MIO
- Federated Department Stores
- Email gale.weisenfeld_at_macys.com