Kasturi, VP of Sales at Aiso AI, reveals how artificial intelligence is reshaping B2B sales. She emphasizes moving beyond traditional "pushy" selling to intelligent, data-driven engagement, enabling sellers to understand buyer intent and automate crucial pre-qualification processes. This approach promises more meaningful interactions and increased revenue for organizations.
Nobody wants to be sold to, nobody likes to be sold to.— Kasturi, aviso
Kasturi highlights the inefficiency of traditional sales, where valuable human time is often spent on unqualified leads. By implementing AI-driven systems, businesses can automate the initial screening process, ensuring that only genuinely interested and relevant prospects reach the sales team. This intelligent pre-qualification saves resources and significantly streamlines the sales cycle.
For instance, in a luxury elevator sales scenario, an automated form could gather crucial data points like building type (G+1), budget, and specific technology preferences. This allows sales professionals to engage only with leads that meet core criteria, avoiding wasted site visits or detailed pitches to unsuitable prospects.
Effective lead management is crucial, but manual processes are prone to errors and delays. AI can transform this by integrating directly into CRM systems to automatically score, prioritize, and nurture leads. This ensures a consistent and timely follow-up for every prospect, from cold to hot, reducing the chances of losing valuable opportunities.
As an audience member noted, the need for robust lead qualification and scoring (hot, warm, cold) is universal. AI automates these complex tasks, providing real-time insights into lead engagement and readiness. This allows sales teams to act precisely when a lead is most receptive, optimizing the entire follow-up process.
The modern buyer is inundated with generic sales messages. Kasturi stresses the shift from intrusive cold calls to personalized, data-informed interactions. AI provides sellers with deep intelligence about their prospects, enabling them to tailor their approach and make every touchpoint impactful and relevant to the buyer's specific needs and context.
Instead of blanket outreach, AI empowers sales professionals to craft "impactful, interesting, and also not on the face" interactions. This transforms the sales process into a convenient and value-driven experience for the buyer, fostering trust and increasing the likelihood of conversion by addressing their unique pain points.
Maintaining customer attention and driving repeat business is a significant challenge for many organizations. AI offers a solution by continuously understanding evolving customer needs and anticipating future buying cycles. This proactive approach ensures that customer relationships are nurtured long-term, moving beyond one-time transactions.
As highlighted by an audience member, the goal is "long attention spans" for customers to facilitate repeat sales. AI helps achieve this by analyzing past interactions, purchase history, and market trends to predict when a customer might be ready for another purchase or an upgrade, allowing for timely and relevant engagement.
In today's information-rich environment, buyers conduct extensive research and form opinions about products and services long before they speak to a sales representative. This means sellers must adapt by leveraging intelligence to understand the buyer's pre-existing journey and meet them with relevant insights, rather than initiating with a cold, product-centric pitch.
Automating the initial qualification process, such as gathering basic budget information or specific technical requirements through forms or AI-powered chatbots, significantly enhances efficiency. This allows human sales professionals to dedicate their expertise to prospects who have already demonstrated a high level of fit and interest, making their interactions more productive.
By offloading tasks like lead scoring, prioritization, and basic nurturing to AI, organizations can standardize their sales processes. This reduces the reliance on highly specialized human judgment for initial stages, enabling a broader range of talent to be effective in sales roles while ensuring consistent quality and freeing up senior staff for strategic engagements.
Stop wasting time on generic cold calls. Use AI to identify high-intent leads, understand their specific needs, and craft hyper-personalized messages that resonate, turning more conversations into qualified opportunities.
Implement AI-driven lead qualification and nurturing to free up your team for strategic growth initiatives. This ensures consistent sales processes and maximizes revenue potential without an exponential increase in headcount.
Collaborate with sales by using AI insights to create highly targeted content that addresses specific buyer pain points and stages in the journey, improving lead quality and conversion rates.
Develop proficiency in AI-powered CRM, prospecting, and engagement platforms. This skill set is becoming indispensable in modern sales, offering a significant advantage in the job market and accelerating career growth.
How do I know if the person that I'm reaching out to even is in the buying cycle of my product?— Kasturi, aviso
Kasturi is a seasoned sales leader, currently serving as the VP of Sales at aviso AI. With extensive experience across the Indian SaaS ecosystem, she has been instrumental in the growth of prominent market companies. Her expertise lies in leveraging technology to redefine B2B sales strategies and drive revenue.
LIBA Loyola Institute · Chargebee · Whatfix · AkamaiJoin thousands of Indian professionals learning from industry experts.
Explore All Courses →