Leveraging customer feedback with AI for improved engagement
By Saurav Pranay
Customer feedback isn’t just a box to check—it’s the compass guiding companies toward success. Businesses have long recognized the value of customer opinions, but the paradigm has shifted. Now, leveraging customer feedback isn’t just about listening; it’s about understanding, acting upon insights, and fostering robust engagement.
However, merely accumulating feedback isn’t sufficient. It’s about deciphering the qualitative nuances embedded within. Each comment, review, or rating carries sentiments and clues, presenting an opportunity to delve deeper into understanding customer expectations.
Customer feedback plays a vital role in the success of any business. It helps companies understand what their customers want and what is needed to answer those wants, identify pain areas, and ultimately improve overall customer engagement. As such, it is essential that businesses actively solicit customer feedback and leverage it to improve their engagement. Companies are leveraging the available customer survey management and generative AI tools like, Dynamics 365 Customer Voice, Dynamics 365 Copilot, etc. to understand the customer feedback and improve the overall experience.
It is really important to realize that these tech tools must be evaluated to ensure that they are robust, reliable and time tested as this information—for integrity, availability, security and privacy of the information. This would generally require selecting generic, well-supported platforms to support the core operational aspects. At the same time, every business would seek strategic differentiation and that might mean that the customer feedback and analysis processes need to be tailored to their specific context and needs. This is where peripheral automation comes in. Peripheral automation can be thought of as the set of digital initiatives that leverage the core enterprise records smartly to enable numerous interactions in the organization while enabling and empowering the organization members toward their goals. This approach recognizes the investments made, as well as the potential costs of disruption of the core systems of record that an organization has built. It emphasizes leveraging and enhancing these in a manner that aligns with the modern paradigms of access, ease, and performance.
Here’s how each of these tools can help:
Augmenting Insights: Artificial Intelligence (AI) assumes a pivotal role in this context, as AI-driven analytics tools adeptly process extensive feedback volumes, unveiling latent patterns and sentiments that might otherwise elude scrutiny. Utilizing Large Language Modules (LLM) algorithms, textual data is parsed to discern emotional nuances, identifying prevailing trends and sentiments across a diverse array of comments. Through the strategic implementation of AI, enterprises can distill valuable and scalable insights from raw feedback, transforming it into a repository of actionable intelligence. This capability enables companies to promptly address pertinent issues, refine operational strategies, and even forecast future trends, concurrently enhancing the overall customer experience.
Automated customer feedback systems: Customer feedback systems such as Dynamics 365 Customer Voice and G2 Track serve as indispensable customer feedback management tool, facilitating businesses in the design and dissemination of tailored surveys to their clientele. This platform serves as a conduit for comprehensive feedback collection, enabling businesses to gauge customer satisfaction levels and pinpoint actionable areas for enhancement. Within such solutions, enterprises possess the capability to craft and distribute surveys across varied channels including email, social media platforms, and websites. These surveys are entirely customizable, allowing businesses to curate questions aligned with their specific requisites, incorporate brand elements, and establish automated follow-up protocols for respondents.
Post-collection, these platforms offer built-in dashboards and reports for meticulous feedback analysis. This empowers businesses to discern critical areas necessitating improvement, thus enabling proactive measures to address concerns and refine products and services. Ultimately, this iterative process elevates customer engagement by proactively attending to customer feedback and facilitating continual enhancements in offered products and services.
GenAI assistants: GenAI assistances built on LLMs like GPT 4, such as, Dynamics 365 Copilot represent an AI-driven functionality designed to enhance the efficiency of customer service representatives (CSRs) in addressing inquiries promptly and accurately. Leveraging machine learning algorithms, it offers suggestions for common customer queries, empowering CSRs to deliver swift and precise responses.
This feature operates by scrutinizing historical customer interactions and conversations, discerning recurrent themes and subjects, and presenting pertinent response suggestions to CSRs. Furthermore, it furnishes context-sensitive aid and counsel, including recommending applicable policies and procedures tailored to specific queries.
Utilizing such solutions yields tangible benefits for businesses, notably reducing response times while ensuring the provision of precise information to customers. Consequently, this systematic approach contributes to an elevated standard of customer satisfaction, fostering enhanced engagement levels and bolstering customer allegiance.
Integrating CRM: A Holistic Approach
The convergence of Customer Relationship Management (CRM) systems with AI amplifies the impact of customer feedback. CRM platforms, designed to manage interactions and data throughout the customer lifecycle, become exponentially more potent when infused with AI-driven insights. Imagine a scenario where a CRM system not only records customer interactions but also analyzes sentiments from those interactions in real-time. It’s no longer about reactive measures but proactive engagement strategies. AI-equipped CRM systems enable personalized responses, tailored recommendations, and predictive modeling, fostering deeper connections with customers.
However, the true power lies not just in gathering insights but in the actions taken based on these revelations. Companies that actively listen to their customers and swiftly adapt their strategies accordingly are the ones that thrive.
By closing the loop—taking feedback, analyzing it through AI-driven tools integrated into CRM systems, and implementing changes—businesses can create a continuous cycle of improvement. This fosters a culture of responsiveness, demonstrating to customers that their voices are not only heard but valued.
Leveraging customer feedback through the integration of AI and AI driven tools isn’t just a strategy—it’s a fundamental shift in how businesses operate. It’s about harnessing the collective voice of customers, transforming it into actionable intelligence, and using it as a catalyst for sustained growth and unparalleled customer satisfaction.
In embracing this holistic approach, companies not only position themselves at the forefront of innovation but also foster enduring relationships with their most valuable asset—their customers.
The author is senior consultant, business applications, Advaiya
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