Active data, 149
Amazon decision sciences engineer skillsets, 158
Amazon fulfillment machine, 15–16
Amazon fulfillment costs, 26
Amazon Web Services (AWS), 156
Artificial intelligence (AI), 137, 189
performance metric, 63
performance transfer relationship, 64, 65
process variables, 63
Automation blocks investigation, 172–173
Automation Challenge Analysis (AC-Analysis), 112–113, 214
automation tasks, 210
Capability Challenge Score, 212
input factor, 210
machine capability, 211
Automation project
business/economic value, 120
constraints, 115
disruptors, 119
exploded inventory tracking, 121–122
fixed automation program, 113
generalized task, 113
moonshot opportunity, 120
order picking, 121
performance, 115 sigma automation, 118
situation attributes, 114
technical feasibility, 119
truck trailer, delivery sequence loading, 122
Behavior models, 42
Brainstorm meeting, 90
Brick-and-mortar supply chain, 5
Brown Multiplier to Idea Generator (BM-Idea), 208–209
Brownian multipliers, 206
critical intelligence, 206
customer exploration, 205
generation process, 138
physical idea, 206
specific product/service, 205
Brownian capacity utilization model, 145
Brownian dispersion of customers, 141
Brownian flow system, 142
Brownian Organization
BM-Idea generation process, 138–139
Brownian catalysts consumer behavior, 129
crowdsourced information, 128–129
normal distribution, 129
streamlined supply chain, 128
unbounded selection, 128
Brownian motion
customer wants and demands, 127
ERP systems, 125
parcels, 126
random motion, 126
and Streamline motion, 126
proven innovators
Amazon, 131
Facebook, 130
Zenni, 131
speed bumps and friction, 132–133
Brownian process flow, 148
Brownian uncertainty investigation, 166–168
Brownian wants and demand multipliers, 133–134
Business
Business activity, 142
Business/economic value, 120
Buy Online and Fulfill from a retail Store (BOFS), 10
Buy Online Fulfill from Store (BOFS), 61, 76
Buy Online Pickup in Store (BOPS), 53, 76
Capability Challenge Score, 212
Classical economic analysis, 33
Continuous time room bookings, 160–161
Covid-19 Stock Index, 192
Crowdsourced delivery
delivery service aggregator, 105
nonprofessional drivers, 105
online retailer, 105
restaurant food delivery fulfillment busines, 107
several start-up delivery service, 106
transfer function analysis, 106–107
Crowdsourced on-demand local parcel service, 101
Decision capability, Brownian model
Amazon Web Services, 156
high model complexity, 156–157
modeling complexity
entity count, 155
flowtime slack, 155
frequency, 154
resource load, 155
variance, 154
needed capabilities action capability, 157
cloud capability, 157
data tracking capability, 157
decision modeling capability, 157–158
physio-digital system, 155
required decision capability, 156
Decision latency streaming model, 150–151
Decision models investigation, 173–174
Delivery channels
Amazon, 103
crowdsourced on-demand local parcel service, 101
local dedicated parcel service, 101
local shared parcel service, 101
National Parcel Service, 100
Sequenced Trailer+Parcel Service, 100
Sequenced Trailer+Retailer Vehicle+Dense Addresses, 100
Sequenced Trailer+Retailer Vehicle+Lockers+Customer Pickup, 101
Delivery service aggregator, 105
Delivery speed
amazon and competitors, 48–49, 53–54
consumer behavior behavior models, 42
channel switching, 43
discount factor, 43
fulfillment time, 44
pivot identification, 43
probability of pivoting, 44
convenience vs. waiting for delivery
fulfillment time threshold, 41
KPMG study, 41
maximum acceptable fulfillment time, 42
online convenience (OC) coefficient, 41
online shopping reasons, 41
immediacy, 50
innovative disruptions, 40
Omni channel, 54
order fulfillment process mapping
friction, 46
traditional retailers, 45
physical business, 40
prescription medication, 51–52
process mapping, 45
transactional functions and service business, 40
Walmart’s response, 54
Delivery vehicles, 99
Digital model, 146
Disruptive innovation, 16–17, 189–190
Diverging network model, 109
Dynamic decision, 64
eBay, 22
Enterprise process flow and entities, 144
Enterprise Resource Planning (ERP) systems, 65–66
Entity relationships, 13
Executive function, 33
Explosive decision process mapping, 136–137
Explosive storage policy, 84–85
Fast fulfillment machine, 17–18
performance measures, 18
Flowtime Metric, 147
Forbes, 190
Free shipping, 8
Fulfill from Distribution Center (FDC), 77
Fulfill from Seller/Manufacturer Warehouse (FSM), 77
Fulfillment by Amazon/Third Party (FTP), 77
Fulfillment center design, 53
Fulfillment Object (F-Objects), 146–147
Full Self-Driving (FSD) vehicles, 174
Global logistics system, 54
Gross merchandise value (GMV), 25, 26
Group Idea Sourcing method, 182
High-volume fulfillment centers, 30
Home mortgages, 18
Hospital Patient Stay (Healthcare), 159–160
Innovation Lookout Team, 179, 181–183
Innovation-driven value creators, 79–80
Innovative differentiators
Amazon IDs, 91
bins with commingled items, 85–86
core innovation, 73
disintermediation and disruption, 80
explosive storage policy, 84–85
functional innovation, 80
immediate fulfillment objective, 83–84
physical internet of things, 74–76
physio-digital process innovation, 81–82
short picking routes, 86
small volume stocking locations, 84
three innovation-driven value creators, 79–80
transaction volumes and digital control, 86–87
uncertainty
brainstorm meeting, 90
fast fulfillment transfer function, 87
order fulfillment time, 88
physio-digital innovation, 89
pizza fulfillment example, 91
probability theory, 89
production meeting, 90
quick response system, 88
zero-sum game, 92
Intelligence-driven design and control, 71
Interactive exercising (Peloton), 159
IT-driven innovations, 4
Jumia, 22
Kiva robots, 121
Last mile delivery
Amazon, 96
business implications, 96
crowdsourced delivery, 104–107
delivery vehicles, 99
FedEx and UPS, 95
network flow models
diverging network model, 109
free shipping paradigm, 108
point-of-use delivery paradigm, 108, 109
online order delivery sequence, 98
parcel delivery, 104
online retailer, 97
U.S. online fulfillment costs, 97, 98
transshipment facilities, 99
Lemonade, 189
Length-of-Stay (LOS), 160
Lite-AI builder, 204
data curation, 202
decisions, 201
feature engineering Variables, 202
performance metric, 201
performance transfer relationships, 201–202
process variables, 201
specific activity, 201
Amazon and Mark Zuckerburg, 175
investigations
physio-digital innovation, 168–169
transfer function math, 170–171
team dynamics, 176
utopic machine, 163
zero-infinity target, 163
Macrotransactions, 71
Manufacturing supply chains, 3
Mathematical modeling
artificial intelligence (AI), 61–66
intelligence-driven design and control, 71
physical transactions, 58
pick probability, warehouse
design design decision, 66
fast fulfillment probability, 68
fast fulfillment transfer function, 66
layout design with locations, 67–69
likelihood, 66
pickers, 67
probability theory, 67
pickers and picking
BOFS strategy, 61
brick-and-mortar retailers, 61
fulfillment associate position, 59
fulfillment center, 60
job description, 60
warehouse order picker, 59
robo-advised services, 57
ROC principle, 58
Microtransactions, 71
Milk Run Model, 101
National Parcel Service, 100
Natural law model, 62
Nest smart learning thermostat, 81
NetMarket, 21
Netscape web browser, 21
New Product Development, 180
New York City taxi medallion prices, 82
Nonprofessional drivers, 105
Online convenience (OC) coefficient, 41
Online marketing, 16
Online order fulfillment, 2
Online retail consumer selection, 31–32
data
Amazon annual fulfillment costs, 26
Amazon reports, 24
annual U.S. retail sales, 24
future trends, 24
third-party seller ratio, 24–25
validated data, 23
Netscape web browser, 21
U.S. companies’ online product sales, 28
Online Retail Plus Showrooms, 10
Online retailer, 105
Optimism Rule, 188
Order Picking Warehouse, 131
Order Processed at Fulfillment Center (OFC), 77
Origin Object (O-Objects), 147
Paradigm shifts, retailing logistics
delivery side infrastructure, 2
free shipping, 8
online vs. m traditional retail, 2
point-of-use delivery, 6
predictive correlations, 13–14
supply chain subscription, 14–15
Parcel shipping costs, 8
Participatory sensing system (PSS) data stream, 152–153
Passive data, 149
Performance transfer relationships, 64
Physical business, 40
Physical internet of things, 74–76
Physical transactions, 58
Physio-digital innovation investigation, 81–82, 111, 168–169
PillPack, 76
Pinball Objects (P-Objects), 147
Pivot factor, 43
Pivot Transfer Function, 43
Point-of-use delivery paradigm, 6, 108, 109
Prescription fulfillment, 76
Probability theory, 57
Process Speed Analyzer (PS-Analyzer), 46–48, 200
process speed, 196
slow cause, 197
specific fulfillment process, 196
speed effect calibration, 197–198
Product pricing, 29
Profitability in-store retail, 29
Project Evaluation and Review Technique/Critical Path Method (PEERT/CPM), 145
Promotional pricing, 88
Random motion, 126
Recorded, Optimized, and Controlled (ROC) principle, 58
Rocket Mortgage, 18
S-Fulfillment strategy, 77
Ship to Store (STS), 77
Sigma automation, 118
SimpliSafe system, 81
Sortation, 122
Stationary decisions, 64
Stock keeping units (SKUs), 10
Streaming data model
advantages, 149
nX Data Points, 149
Uber, 152
Strength-weakness-opportunity-threats (SWOT) analysis, 77
Team innovation
characteristics
front loaded optimism, 188
No Reservations, No Limitations, 187
disruptive innovation, 189–190
fulfillment machine preparation, 190–191
Innovation Lookout Team, 181–183
zero-infinity teams, 185
Tesla Autopilot Game Plan, 174
Three innovation-driven value creators, 79
Traditional decision models, 142
Transfer function analysis, crowdsourced delivery, 106–107
Transfer function math, 170–171
Transfer function modeling, 137
Transshipment facilities, 99
Uber, 82
UberEATS, 171
U.S. Postal Service (USPS), 96–97
Utopic machine, 163
Very large-scale flow (VLSF) model, 146–147
Walmart, 22
e-commerce operations, 54
RetailLink system, 4
Warehouse order picker, 59
Zero-infinity team, 175–176, 180