Week X: AR, VR, and AI
Augmented Reality in E-commerce Settings
The challenge of using AR in e-commerce settings
In e-commerce, there is a lot of uncertainty. Augmented reality addresses the sensor deficit and offers more stimuli to consumers to reduce the risk they perceive when they are
m-AR (Multi-sensory augmented reality) blends visual environments with interactive tactile and auditory inputs
The willingness to pay for a breakthrough
Consumers exhibit a significantly higher level of WTP when manipulating holograms with kinaesthetic touch control
Decision Comfort
The affective signal the brain produces when mental intangibility is successfully minimised through multisensory feedback
Auditory Addition
sound moderates and boosts decision comfort independently. It validates the visual and physical inputs, exponentially increasing the consumer’s structural confidence in the hologram
Spatial Consumers Personas
The Assessor (High Involvement Consumer)
Driven by making the right choice. Highly reliant on deep comparison and physical evaluation
The Locomotor (Low Involvement)
driven by speed and task completion. Largely unaffected by multi-sensor inputs
Evolution
Traditional E-Commerce ← Basic AR (Visual+Voice) ← Multi-Sensory
Strategic Virtual Reality
The reality-virtuality continuum
AR
Low/Partial overlay
MR
Medium Interactive
VR
Total/Immersive
From immersion to presence
Immersion: Technical Reality
The objective degree of realism provided by the system
Presence: The Mental Illusion
the objective feeling of being there and feeling as though the world is real
The augmented journey
Pre-purchase
Moving away from passive awareness to interactive spatial exploration
Mobile AR advertising
Haptic Ads
Virtual Product Placement
Purchase
Using spatial visualisation to bridge the gap between imagination and reality, lowering the risk of purchase
Virtual Try-On
Smart Dressing Rooms
Virtual Pop-Up Stores
Post-Purchase
VR/AR is not just a sales tool; it is a medium for extended product consumption and co-creation
VR as the product
Consumption Enhancement
Gamification and co-creation
Strategic Imperatives for the Augmented Brand
Design for the Journey
Measure the Unconscious
Embrace the Post-Purchase
From analytical AI to generative AI
Analytical AI
Predicts the future
Requires structured, numerical data
predicts a customer’s likelihood to default
powers optimal pricing and next-best offers
Generative AI
Lever 1: The Input Trade-Off
utilises a retrieval-augmented generation (RAG) approach to tune a general LLM specifically with a curated set of internal wealth management documents, protecting client data while leveraging Gen AI reasoning
Lever 2: The augmentation Spectrum
General Models: Speed vs Safety