The GAPS Model of Service Quality: AI Solutions
The
GAPS Model of Service Quality: AI Solutions
Understanding
the Customer Gap
The
Problem: The
difference between customer expectations and perceived service delivery
AI
Solutions:
- Continuous Feedback Analysis: AI analyzes reviews, social
media, and surveys in real-time
- Predictive Expectations
Modeling:
Anticipate what customers will expect based on trends
- Personalized Service Delivery: Tailor experiences to
individual preferences
Provider
Gap 1: The Listening Gap
Not
knowing what customers expect
Traditional
Challenges:
- Limited market research
- Delayed feedback loops
- Subjective interpretation of
customer data
AI-Powered
Solutions:
- Natural Language Processing
(NLP) for Voice of Customer:
- Sentiment analysis employs
NLP and machine learning techniques to analyze text data and discern
emotional tone, opinions, and sentiments expressed by customers through
monitoring customer reviews, social media conversations, and survey
responses
- Predictive Analytics:
- AI aids in understanding
consumer trends and preferences, enabling marketers to make data-informed
decisions and run targeted campaigns
- Real-Time Customer Insights:
- Infosys launched Infosys
Aster in June 2024, a suite of AI-powered marketing services aimed at
delivering engaging brand experiences and enhancing marketing efficiency
Indian
Implementation Example:
Investment in AI tools for influencer campaign optimization in India increased
by 78% between 2022 and 2024, with projected compound annual growth of 28%
through 2027
Provider
Gap 2: Service Design & Standards Gap
Not
having the right service designs and standards
AI
Applications:
- Automated Service Design:
- AI analyzes successful
service patterns
- Machine learning identifies
optimal service standards
- Continuous improvement
through feedback loops
- Personalization Engines:
- 80% of consumers are more
likely to make a purchase from brands that offer personalized
experiences, and AI enables these tailored interactions
- Quality Standards Monitoring:
- AI continuously monitors
service delivery against benchmarks
- Automatic alerts when
standards are not met
Success
Metrics:
- Website personalization
through AI improves conversion rates by an average of 43%
- Businesses using AI for lead
scoring see 50% more qualified leads and 37% higher conversion rates
Provider
Gap 3: Service Performance Gap
Not
delivering to service standards
AI-Driven
Performance Enhancement:
- Real-Time Quality Monitoring:
- AI-based systems provide
automated campaign tweaks based on analytical data in real-time
- Google's AI features optimize
campaigns toward diverse search queries and adapt in real time
- Employee Support Systems:
- Indian customer service
agents spend less than one day per week actually resolving issues,
spending the other four days on administrative tasks—most of which can be
resolved faster via deployment of modern AI solutions
- Automated Quality Assurance:
- AI monitors all customer
interactions
- Identifies training needs and
performance gaps
- AI-powered chatbots process
past customer data and interactions to improve future responses and
overall service quality
Indian
Healthcare Example:
NIB Health Insurance saved $22 million through AI-driven digital assistants,
reducing customer service costs by 60%
Provider
Gap 4: Communication Gap
Not
matching performance to promises
AI
Solutions for Promise-Keeping:
- Automated Communication
Management:
- Mobile app user acquisition
costs decrease by 41% when companies use AI for targeting and
optimization
- In-app engagement improves by
67% with AI-powered personalization
- Transparent Service Updates:
- AI-powered tracking and
notification systems
- Proactive communication about
delays or issues
- Real-time service status
updates
- Consistency Across Channels:
- Leading Indian chatbot
providers like Haptik, Gupshup, and Verloop.io enable businesses to
maintain consistent communication across Facebook Messenger, Slack,
WhatsApp, and other messaging platforms
Campaign
Example - boAt's Transparency Initiative: Audio electronics brand boAt invited influencer
FoodPharmer (Revant Himatsingka) to critique their products in 2025. In a
YouTube vlog, boAt's product head walked Revant through their R&D lab,
testing noise-cancellation and audio specs on the spot without scripted
answers, earning viewer trust through radical transparency
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