4. Attempts to Meet Expectations Create Additional Risk
7-15%
the amount of safety stock
consumes of inventory on
the balance sheet
$24.2B
the amount of capital NA
retailers tie up to
compensate for OOS
$144.9B
total loss due to OOS
annually
54%
will shop a competitor if
their preferred delivery
method isn’t available
59%
of shoppers won’t return
after a bad experience
12. Multi-Node Drives Speed & Efficiency
Single Node
vs.
Multi-Node
• Better utilize distribution network
• Outbound transportation cost
• Speed of delivery
Optimization
Allocation
• Inventory placement and
distribution strategy
• Get closer to the customer
12
13. Multi-Node Has Pros & Cons
Pros Cons
↓ Outbound
transportation cost
↓ Transit time
↑ Service level
↑ Total inventory level
↑ Fixed cost
↑ Inbound transportation
cost
13
15. Source: Javelin Strategy Research 15
Identity Theft Account Takeover Synthetic Identity
16.7M
Victims in the U.S. in 2017
31%
Amount ATO increased in 2017
275%
Increase in 2017
$16.8B
Stolen
$5.1B
In losses
1.5M
People who had a new account
opened before realizing there’d
been a breach
eCommerce Fraud Grew More Than 30% in 2017
17. Machine Learning Only
Assets
Best at identifying patterns
Fastest decision maker
Scales well in volume and cost
Minimizes human interaction
Liabilities
Decreases order approvals
Increases false positives
Only as good as the data it has
Boundaries understood by fraudsters
17
18. Man Only
Assets
Able to weigh “gray area” decisions
Decreases false positives
Seeks new data sources
Best at exception handling
Liabilities
Adds friction to the buying process
Increases processing time
Increases cost
Limits # of variables used at same
time
18
19. • Human intuition
that relies on
machine input
• AI/Machine learning +
sophisticated fraud
screening tools
• Big data – the
more, the better
A Balanced Approach
eCommerce companies that invest in a multi-layered
approach experience 65% fewer successful fraud attempts.
22. Solutions: Optimized OMS, Ship-from Store, In-Store Pickup
Results:
• 250 stores live in 6 weeks
• 5,614% increase online inventory (70K units to 4M units)
• 99.7% of orders ship in 2 days
• 90% of online orders fulfilled by stores
• 99.5% fill rate
• 567% increase in boot sales in first 5 days of peak vs. entire prior year peak season
“We went from about 70,000 units on
average to about 4 million units available
to our customers. We did more business
in our first holiday season than we did in
the entire year.”
Kent Zimmerman, VP, Digital, Shoe Carnival
22
23. A premier cosmetics company
wanted the ability to reach their
customer within 2 days
Solution: Multi-Node Fulfillment Model with 4 Facilities across NA
Results:
• Lower time in transit
• Increased peak capacity
• Improved business continuity option
23
Source: “Customer Desires vs. Retailer Capabilities: Minding The Omni-Channel Commerce Gap”, by Forrester Research,
Date, geography and relevant to survey data
Stats: CFI Consumer Study 2017: 61, 73, 73
Notes about this section:
This slide shows the “considered needs” of our audience. In other words, these are the things that they already know, at least to some degree, that they need to manage, buy, do, etc.
The sales strategy during this section is to acknowledge that we know about all this stuff too. We get their world.
The strategy is NOT to sell them on our products and services at this point. This would risk setting Radial up as a commodity purchase.
Key points to make:
The truth is there’s a lot to do, as you know.
This is our version of an excerpt from Forrester that you may be familiar with.
You see, all of your products have to available, all of the time, everywhere. And that means real-time inventory visibility across every sales channel, tax calculations payment processing, fraud screening. You need to be able to orchestrate your orders, route them to the best source location that meets your delivery SLAs and keeps your profits as high as possible. Your stores need to be able to fulfill online orders, if you use dropshippers, all communication needs to be automated, your customer service agents need a single view of the full order life cycle and the list goes on.
Bottom line: it’s insanely complex. We get it. We get it because this is actually all the stuff that we do.
One thing you’ll learn today is how your team could actually manage all this stuff.
While close to have (44%) of retailers have optimized their end to end order management visibility, only 1/3 have the maturity to optimize split order fulfillment and only ¼ have optimized intelligent order routing. By not optimizing these retailers are losing Margin; Slowing Down fulfillment process and ultimately risking sales.
Definitions:
EndtoEnd Visibility: ability to see orders and inventory across entire store network and DCs
Distributed Order management: ability to distribute orders to DCs, stores or both
Flexible Fulfillment: orders placed online can be shipped from DCs, stores or directly from supplier
Split Order FF: abililty to split orders between DC and store; between different stores; between DCs, Stores, dropshipper
Intelligent Order Routing: ability to route orders to various locations based on rules – safety stock levels in stores; available inventory numbers; SKUs; Best fulfillment locations.
Retailers continue to face major challenges around inventory control, visibility and returns. They need an intelligent OMS to address these challenges.
Store Fulfillment is now tablestakes, but the issue is doing it right. If you’re not doing Store fulfillment at all you’re a laggard.
If you’re doing it but not profitably – you’re behind.
Need to think outside the box – stores become return centers for online purchases; and with consumers wanting real-time gratification, leverage store resources to also become delivery agents to enable same day delivery and extend your brand reach.
SFS:
Drives incremental eCommerce revenue
Cost savings by leveraging fixed store overhead
Optimizes store inventory
Minimize out of stock scenarios
ShipToStore
Provides customer convenience & control for pick up location
Reduced or free shipping
Freight savings for retailer
Increase foot traffic & upsell opportunity
Minimal disruption to store operations & inventory
Flexible integration options for any level of supplier sophistication
Automated shipping notifications
Two-way invoice matching
Real-time inventory feeds
Retailer-branded pack slips and shipping labels
Formal compliance guidelines and enforcement
Regular test orders to ensure compliance
Defined chargeback process for non-compliance
Compliance reporting
Supplier recognition program
Consistent two-way communication
Supplier feedback loop
The numbers for 2018 have not been released yet
Ecommerce fraud grew 2X the amount that ecomm sales did (sales 16%; fraud more than 30%)
THE SITUATION
TaylorMade Golf Company has a growing direct-to-consumer business where average order values (AOVs) are high due to the nature of its top-of-the-line golf products. With customers making a highly considered purchase, creating a frictionless purchase experience is vital. Equally important, is preventing fraudulent purchases. Finding a balance proved challenging.
TaylorMade worked with a third-party vendor to set up its fraud rules and relied on the vendor’s risk analyst to manage the rules. For orders held for manual review, TaylorMade leveraged one or two of its own customer service representatives to manage the fraud review queue, releasing orders when warranted, or canceling orders that failed the manual fraud checks. The combination of a one-size-fits-all rules engine and dual purposed customer service representatives, resulted in an order approval rate that hovered between 88 and 89 percent. On the backend, TaylorMade’s finance department was tasked with managing chargebacks, which caused resource constraints for the team.
Matt Kneller, Director of eCommerce at TaylorMade Golf Company explains. “Based on the nature of the products we sell, which are highly personalized, TaylorMade didn’t have all of the necessary resources to support a direct-to-consumer business as it relates to fraud management. Our customer service representatives were double teaming as manual review analysts and our coverage was limited to a standard Monday through Friday work week, which created bottlenecks in the fraud queue and friction for our customers. Plus, we had limited resources to respond to chargebacks. We were also relying on our fraud management vendor to manage our rule set, but what we found is that their standard rule set may be fine for more consumable items, it wasn’t adequate for our business. Our order approval rate was too low and we were losing revenue not just in order conversions, but also in chargebacks. We knew it was time for a change.”
Shoe Carnival, Inc. is one of the nation’s largest family footwear retailers, offering a broad assortment of moderately priced dress, casual and athletic footwear for men, women and children with emphasis on national and regional name brands.
Why did they go from 1 node to 4 TNT driven decision to reach customer base within 2 days TNT
ELC has 3 US facilities (Reno, NV; Louisville, KY; Burlington, NJ) and 1 in Canada (GTA).
What are the benefits they realized from going multi-node – Faster TNT to customers, potential capacity increases during peak and of recent, the ability to divert volume to other nodes in a disaster recovery effort (i.e. Reno fires last year).