際際滷

際際滷Share a Scribd company logo
From 1-Click Buying
To 0-Click Logistics
@daniel_gebler
@picnic
20
Days
per year
912km
Trips to
Store
230kg
Waste per
person
Our Value Proposition
Groceries
+
Mobile Home On-Time Lowest Price
+ + + =
Producers Consumers
Traditional Supermarket
WAREHOUSE
LESS IS MORE
Picnic
Producers Consumers
WAREHOUSE
From 1-click buying to 0-click logistics
From 1-click buying to 0-click logistics
The Distribution Challenge
20 min window
99% on-time
1% no show
10CONFIDENTIAL
14:00
11CONFIDENTIAL
15:00
12CONFIDENTIAL
16:00
13CONFIDENTIAL
17:00
14CONFIDENTIAL
18:00
15CONFIDENTIAL
19:00
16CONFIDENTIAL
20:00
17CONFIDENTIAL
21:00
18CONFIDENTIAL
22:00
The Distribution Solution
Carea
+
C1st
+
Cp揃N
+
T
From 1-click buying to 0-click logistics
From 1-click buying to 0-click logistics
The Safety Challenge
Nobody gets hurt
Top-level objective
All inclusive
The Safety Solution
Gather Accelerometer Data
Identify unsafe driving
Communicate & Educate
Driver coaching based on ultra-high resolution data and actionable insights
From 1-click buying to 0-click logistics
30 Articles in 3 Minutes
The Mobile Shopping Challenge
The Mobile Shopping Solution - Bulk recommendations
 Set of 4, 8 or 12 articles
 Buy all with a single tap
 1-click shopping for half of your basket
 Purchase confidence >90%
 Covering repetitive & boring items
Input Hidden Layers Output
Monday
(wk -2)
Friday
(wk -2)
Wednesday
(wk -1)
Tomorrow
Solution: Deep Recurrent Neural Network (LSTM)
 Item likelihood to buy
 Cat likelihood to buy
 Next 7 days
 Item/cat buying interval
 Order history (articles, dates)
 Normalized quantities
 Days between orders
x 1
x 2
x 0
x 3
x 0
x 1
x 2
x 2
x 0
x2
x 1
x 1
Item - Item
relations
Item - Day
relations
Itemset - Day
relations
y2
x1
x2
x3 y3
y1
z2
z3
z1
Result: Big and Deep data for optimal RFM prediction parameters
65%
70%
75%
80%
85%
90%
0 20 40 60 80 100 120 140
Precision
Number of orders
Big data
(lack of depth)
Big & Deep data Deep data
(lack of breadth)
The Customer Service Challenge
Blitzscaling business
Ultra-personal service
Exceptional service quality
The Customer Service Solution
Automation with Natural Language Processing
Design
Ticket enrichment
Issue identification
Product
identification
Ticket routing
Proposing solutions
Customer Ticket
 many more
Automation with Natural Language Processing
Design
Ticket enrichment
Issue identification
Product
identification
Ticket routing
Proposing solutions
Customer Ticket
 many more
Automation with Natural Language Processing
Design
Ticket enrichment
Issue identification
Product
identification
Ticket routing
Proposing solutions
Customer Ticket
 many more
Automation with Natural Language Processing
Design
Ticket enrichment
Issue identification
Product
identification
Ticket routing
Proposing solutions
Customer Ticket
 many more
Automation with Natural Language Processing
Design
Ticket enrichment
Issue identification
Product
identification
Ticket routing
Proposing solutions
Customer Ticket
 many more
Automation with Natural Language Processing
Design
Ticket enrichment
Issue identification
Product
identification
Ticket routing
Proposing solutions
Customer Ticket
 many more
Automation with Natural Language Processing
Design
Ticket enrichment
Issue identification
Product
identification
Ticket routing
Proposing solutions
Customer Ticket
 and many more
Creating happiness by sharing happiness with your team
The Interface Challenge
Everything
Everytime
Everywhere
Convenient
From 1-click buying to 0-click logistics
1. Dream Big, Act small
2. Mission first, Data as support
3. Data Science first, AI second
4. Launch first, Scale second
5. Great products come from small teams
Learnings from a disruptive Scale-up
Milkman 2.0
serving millions of families
http://picnic.app

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