Sachin's Take : Generative AI has been made observable impact in marketing, sales and customer support.
When friends ask me if Generative AI is just hype, my response is emphatic: 'No, it's a game-changer.' Gen AI is already revolutionizing various organizational functions, significantly boosting employee productivity. And we're just getting started - currently at version 0.1. I'm excited to see the numerous success stories that will unfold in the years to come.
Three areas where I see biggest impact are
Marketing
Sales
Customer Support
Marketing
The top 3 use cases of Generative AI in marketing are:
Content Creation and Personalization: Generative AI can produce blogs, social media updates, email campaigns, and more, at scale. It also easily personalize content for specific audience segments, enhancing engagement.
Ad Copy and Campaign Optimization (MY FAV): AI can generate multiple versions of ad copy, headlines, and creative elements for digital ads, helping marketers quickly A/B test and optimize campaigns based on real-time performance data.
Customer Insights and Segmentation: Generative AI analyses vast datasets to uncover insights about customer behavior, preferences, and trends. It helps marketers create better-targeted campaigns by automatically segmenting audiences and suggesting actionable strategies for each group.
At Vizury, I invented Ramanujan. It was AI-based automated user segmentation. This was in the year 2016-17!
Useful Articles
Sales
The top 3 use cases of Generative AI in sales are:
Automated Lead Generation and Qualification: AI can analyze customer data to generate qualified leads by identifying patterns and behaviors that indicate purchase intent. It automates the process of prospecting, saving time and ensuring sales teams focus on high-potential leads.
Personalized Sales Outreach: Gen AI can craft personalized emails, messages, and sales pitches tailored to individual prospects, making outreach more relevant and increasing engagement. It enables sales teams to connect more effectively with leads at scale.
Sales Forecasting and Analytics: AI analyzes historical sales data and market trends to generate accurate sales forecasts, helping sales teams plan better. It can also provide insights into deal progression, customer behavior, and potential roadblocks, enabling more informed decision-making.
Useful Articles
Harvard Business Review - How Generative AI Will Change Sales
Customer Support
The top 3 use cases of Generative AI in customer support are:
Automated Responses via AI Chatbots: Generative AI can power chatbots to handle a wide range of customer inquiries in real-time, providing instant responses to frequently asked questions, resolving common issues, and guiding customers through processes without human intervention. This significantly reduces response times and improves customer satisfaction.
Multilingual Support: AI can automatically translate customer queries and responses, enabling businesses to offer customer support in multiple languages without the need for specialized staff. This helps companies cater to a global audience more effectively, enhancing the customer experience across regions.
Ticket Categorization and Prioritization: AI can analyze and categorize incoming customer support tickets based on urgency, complexity, and issue type, ensuring that critical cases are prioritized and routed to the right teams. This optimizes workflow, reduces resolution times, and ensures high-priority issues are addressed promptly.
Useful Articles
Gen AI is just getting started!!!!!
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