Autodesk AI: From Isolated Copilots to an Enterprise Intelligence Layer
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Organizations are actively investing in strengthening their big data infrastructure to standardize the large pool of customer data and produce uniform data sets, which can be read and processed through Artificial Intelligence (AI) systems to generate rich and meaningful insights. These insights then guide the organization’s personalization efforts by predicting customer behavior and needs, helping customize content and drive process automation. However, like any technology, personalization technology too has its pros and cons that impact the customer experience, as outlined in the following SWOT analysis.

Strengths
Impact on Customer Experience (CX):
Real-time, personalized content and support that is in tune with customer’s transactional and behavioral pattern saves their time and effort in completing a task. Further, robust technology framework enables superior digital experience and easy navigation. It enables organizations to streamline process flow according to the customer’s journey, along with the tools and support required at each point of interaction.
Weaknesses
Impact on Customer Experience:
Personalization has its limitations – when the customer’s interests change, the system is able to gauge such a change and re-tune its messaging only after it has been researched online by the customer. This process of realignment and re-targeting will take some time, which may not be acceptable to today’s impatient customer who is looking for prompt support and information, pushing them to explore alternative options.
Opportunities
Impact on Customer Experience:
Successful personalization leads to higher customer advocacy and retention. Further, customer’s hidden aspirations as revealed by predictive analytics can help organizations proactively design customized offerings, thereby delighting the customer.
Threats
Impact on Customer Experience:
Tracking and tapping customers across various digital and social media can be a concern for customers as they feel being watched and followed round the clock, thus dampening their overall experience.
Clearly, to succeed in their personalization endeavor, organizations must be able to intuitively predict what the customer needs and when, tailor the offering to an individual customer’s wants and aspirations, let them have it over the medium of choice and provide all the necessary support across the customer’s journey, in real-time. To do so, they must start out with getting the management buy-in by putting together a strong business case for personalization technology deployment that clearly quantifies the long term gains. This will highlight the contribution of the technology in achieving business outcomes and help offset the initial costs involved. The business case must also outline the positive impact on customer experience and prove its alignment with the organization’s customer experience strategy. Further, organizations must drive an organization wide personalization agenda and encourage collaboration between business units, so as to breakdown business silos and ensure the long-term success of the technology. Post deployment, organizations must put in place strict policies governing the operation of the personalization technology framework so as to avoid dumping too much content on the customer and respecting their choices and social boundaries.
CyberMedia Research (CMR)
SKU: CMR-ADAS-27413
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