More Related Content Similar to Emerging Technologies in Retail (20) More from SAP Customer Experience (20) Emerging Technologies in Retail2. 2INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Emerging technologies retailers are using to create
a more engaging shopping experience
Internet of Things
Artificial intelligence Blockchain
Big Data
Virtual, augmented,
and mixed reality
Analytics
Chatbots
Machine learning
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Connecting things with people and processes
§ Detect and interact with shoppers in-store
§ Optimize order picking and track deliveries
§ Streamline shopping experience in-store and online
The Internet of Things (IoT)
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Collect and manage vast amounts of data
§ Increase spending by your best customers
§ Identify profitable items to promote
§ Refine assortment to drive higher sales
§ Reduce out-of-stocks on promoted products
Gain insights that enable transformative
actions
§ Improve customer engagement through
personalization
§ Build targeted campaigns
§ Optimize pricing
§ Anticipate demand and inventory
management
Big Data and predictive analytics
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Artificial intelligence, machine learning, deep learning
All areas of research Artificial intelligence (AI)
§ Intelligence exhibited by machines
§ Broadly defined to include any simulation of human intelligence
§ Expanding and branching areas of research, development, and investment
§ Examples: robotics, rule-based reasoning, natural language processing (NLP), knowledge representation
techniques (knowledge graphs), …
Machinelearning (ML)
§ A subfield of AI that aims to give computers the ability to do tasks with data without explicit
programming
§ Numerical and statistical approaches used, including artificial neural network techniques to
encode learning
§ Models built using “training” computation runs; can also train through usage
Deep learning(DL)
§ A subfield of ML that uses specialized computational techniques, typically multilayer
(2+) artificial neutral networks
§ Layering that allows cascaded learning and abstraction levels
(for example, line recognition → shape → object → scene)
§ Computationally intensive, enabled by clouds, GPUs, and increasingly more
specialized hardware such as field-programmable gate array (FPGA) and new
custom hardware
Artificial
intelligence
Rule-based reasoning
Machine learning
Deep learning
Natural language processing
Translation Machine vision
Speech to text
Speech
Text to speech
Robotics
Autonomics vehicles
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Increase conversion rates and average order size
§ Personalized customer experience
§ Contextual merchandising
§ Sentiment analysis
§ Customer retention insight
§ Service ticket intelligence
Machine learning
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Deliver superior customer service
using chat, messaging, or voice interfaces
§ Items added to shopping list/cart
§ Recommendations, offers, and promotions
§ Order placed, delivery or pickup scheduled
§ Pick-up/delivery notifications, substitutions
§ Customer service
Chatbots
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§ Virtual reality simulates a virtual environment
§ Augmented reality puts a virtual layer on top of the real
world and adds information to what you can already see
§ Mixed reality combines both: the real world is enhanced
with lifelike virtual objects that can interact with their
surroundings
Virtual, augmented, and mixed reality
11. 11INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
§ Virtual reality simulates a virtual environment
§ Augmented reality puts a virtual layer on top of the real
world and adds information to what you can already see
§ Mixed reality combines both: the real world is enhanced
with lifelike virtual objects that can interact with their
surroundings
Virtual, augmented, and mixed reality
Apple’s ARKit now available to hundreds of millions of iPad and iPhone users
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Open distributed ledger embedded into business apps
§ Modernize supply chain
§ Improve food safety and transparency
§ Control fraudulent goods
Blockchain
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SAP Leonardo digital innovation system
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Summit interactive experiences
A galaxy of data
Conversational
commerce
Robots in
retail
Next-gen
retail
execution