Enterprises are under pressure to revamp their IT systems and curtail operational costs. Traditional virtual machine-based architectures have limitations and pose a challenge to the digital IT ecosystems, especially in the context of microservices. While Virtual Machines (VMs) have been a significant part of IT infrastructure for years, their overhead costs and lack of agility hinder the seamless deployment and scaling of microservices-based applications. Consider today’s scenario where 92% of global enterprises are running at least one production workload with a cloud hyperscaler, VM-based infrastructures still dominate. That’s where container-first cloud modernization comes into the picture. Containerization and cloud-native applications bring in much-needed flexibility and cost optimization.

Let’s look at the transformational merits of container-first cloud modernization and its impact on organizations.

Defining a container-first approach

A container-first approach involves developing or refactoring applications to run in docker containers. These lightweight containers contain everything necessary for an application to run: source code, runtime, system tools, dependencies, external libraries, and configurations. Once packaged as a container, applications can run universally, regardless of computer architecture or operating systems. Often coupled with cloud-native services, this approach amplifies its advantages.

Limitations of traditional VM-Based Architecture

To put things into perspective, let’s first understand the limitations of the traditional VM-based architecture, especially for microservices.

• Resource Intensive: Each VM runs a full copy of an operating system, which can lead to wasted resources. This is particularly problematic for microservices, which are meant to be lightweight and efficient.
• Slow Start-up Times: VMs can take a significant amount of time to boot up, which can slow down the deployment of microservices and affect the organization’s agility.
• Less Portability: VMs are less portable than containers as they are closely tied to the underlying host OS. This can create challenges when moving applications between different environments.

Let’s look at the advantages.

Merits of a container-first approach

• Improved portability: Containers encapsulate all dependencies, ensuring applications run consistently across different computing environments. This portability simplifies moving applications between environments, from development to production or from on-premises infrastructure to the cloud.
• Enhanced scalability: Containers can be rapidly started, stopped, and replicated. This makes it easier to scale applications in response to demand. With cloud-based container orchestration tools like Kubernetes, automation helps in scaling applications.
• Increased efficiency: Containers are more resource-efficient than traditional virtual machines, as they share the host system’s OS kernel instead of demanding the entire OS for each instance. This means significant savings in system resources, which can reduce costs and improve performance.
• Faster deployment cycles: The container-first approach can streamline the software development lifecycle. Containers support CI/CD pipelines, enabling faster, more reliable deployments. With this approach, organizations respond more swiftly to market changes and customer demands.

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Kubernetes, an open-source platform designed to automate deploying, scaling, and operating application containers, has become the de facto standard for container orchestration. Kubernetes offers a framework to run distributed systems resiliently, thereby scaling and healing applications as needed.

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Taking a comparative view

For this comparison, consider AWS as the cloud provider and an online retailer’s e-commerce website as the reference workload. The following comparisons aim to mimic the hosting in an Elastic Cloud Compute (EC2) infrastructure vis-à-vis Elastic Kubernetes Service (EKS), a managed Kubernetes engine.

Every cloud hyperscaler has similar capabilities, and the following comparison is valid for equivalent services across all cloud hyperscalers: 

Features	A comparative view of two services
	Amazon EC2	Amazon EKS
Infrastructure setup	· Requires provisioning and managing EC2 instances with specific resource allocations (CPU, RAM, storage).[1] · Each application typically runs on a separate EC2 instance, leading to potential resource wastage due to over-provisioning	· Utilizes managed Kubernetes service (EKS) for container orchestration. [2] · Containers run on worker nodes within an EKS cluster, sharing the underlying EC2 instances for improved resource utilization.
Deployment flexibility	· Deployment involves spinning up new EC2 instances for each application, which can be time-consuming and resource-intensive.	· Deployment is streamlined through container images managed by Kubernetes, enabling rapid scaling and deployment of applications with minimal overhead.
Scalability	· Scaling requires provisioning additional EC2 instances, which may lead to underutilization during periods of low traffic and potential over-provisioning during peak times.	· Offers horizontal scaling by dynamically scaling the number of pods (containers) based on demand, ensuring optimal resource utilization and cost efficiency.
Cost analysis	· Costs include EC2 instance provisioning fees, typically charged based on resource allocation (CPU, RAM, storage) and uptime. [3] · Additional costs may arise from software licenses for operating systems and applications installed on each EC2 instance.	· Costs primarily consist of AWS EKS service fees and underlying EC2 instance costs for worker nodes in the EKS cluster. [4] · Containerization minimizes overhead, potentially leading to cost savings compared to EC2 instances, especially in scenarios with fluctuating workloads.
Operational overheads	· Management involves monitoring and maintaining individual EC2 instances, including patching, updates, and security configurations.	· Simplifies operations with centralized management through Kubernetes, automating tasks like scaling, load balancing, and service discovery [5].
Total cost of ownership	· TCO will be higher due to potential inefficiencies in resource utilization, higher infrastructure costs, and increased operational overheads.	· TCO tends to be lower due to improved resource utilization, streamlined operations, and potential cost savings from utilizing managed Kubernetes service for container management.

To sum up, while both EC2-based and EKS container-based architectures have merits, containerization with EKS offers a significant advantage in terms of cost efficiency, scalability, and operational simplicity in the example of a retail e-commerce company—hence, it is a compelling choice for modernizing IT infrastructure on AWS.

Final thoughts

A container-first cloud modernization approach offers numerous benefits for organizations, including improved portability, enhanced scalability, increased efficiency, and faster deployment cycles. By adopting this approach and leveraging tools like Kubernetes, organizations can overcome the limitations of traditional VM-based architectures, optimize costs, and position themselves for success in the digital age.

Contact us to know how we can help you with this approach.

References: 

• [1] AWS EC2 Instance Pricing: https://aws.amazon.com/ec2/pricing/ 
• [2] AWS EKS Pricing: https://aws.amazon.com/eks/pricing/ 
• [3] AWS EC2 Pricing Details: https://aws.amazon.com/ec2/pricing/details/ 
• [4] AWS EKS Pricing Details: https://aws.amazon.com/eks/pricing/details/ 
• [5] Kubernetes Documentation: https://kubernetes.io/docs/home/

More blogs by Pallab

• Revolutionizing Connectivity: The Synergy of 5G and Edge Computing
• Fog Computing: A trip into the Future of Decentralized Computing
• Movate’s Virtual Try-On solution for a leading brand
• Revolutionizing IT: The Impact of GenAI on Traditional IT Operations and Infrastructure
• Beauty in the Clouds: One of the Global Cosmetics Giant’s Remarkable Metamorphosis with Movate & AWS
• Breaking Barriers: The Voyage of an F50 Organization Towards 25% Operational Savings with Movate and Microsoft Azure
• From Legacy to Leading Edge: A Texan Primary Care Provider’s Journey to 42% OpEx Reduction with Movate and Azure Serverless.
• Debunking Migration Myths: Unveiling the Truths of Hyperscaler Migration with Movate

Author’s background and expertise

Pallab Chatterjee, a Senior Director and Enterprise Solution Architect at Movate, leads the cloud practices division. Having worked in many different industries and countries for more than 16 years, he is an expert Multi-Cloud Specialist. Pallab is an expert at orchestrating successful migrations of over 25 workloads across major cloud hyperscalers. He is an expert in edge computing, big data, security, and the Internet of Things. Notably, he has designed over ten innovative use cases in edge computing, IoT, AI/ML, and data analytics, establishing his standing as a forerunner in the tech industry. LinkedIn

The post A container-first cloud modernization approach for enhanced scalability and efficiency appeared first on Movate.

• Media: Express Computer
• Spokesperson: Krishnan Gopalrao

Generative AI needs no introduction as it continues to make waves everywhere. Boasting human-like conversational ability, remarkable precision, and unwavering consistency, GenAI has emerged as a transformative force, revolutionising various industries. Its impact is particularly pronounced in customer service and support, where applications range from fundamental chatbots to cutting-edge technologies. It also holds promise in creating hyper-realistic videos and sparking creativity in product design, signaling a future of boundless possibilities. The journey of GenAI’s evolution has indeed been a fascinating one! Amidst the enthusiasm for technological breakthroughs, the key to success lies in an often-underestimated asset: data.

A Harvard Business Review study reveals that over 80% of AI projects fail due to poor data quality. Without a well-crafted data strategy and efficient management, an organization’s GenAI aspirations might remain unfulfilled.  Data is the foundation of today’s technological landscape – it can propel organizations to new heights or leave them behind. A robust data foundation is crucial to unlock GenAI’s true potential and navigate this dynamic environment. The percentage of companies that have created a data-driven organization doubled from 24% in 2023 to 48% in 2024, indicating a significant shift towards data-oriented cultures.

Fueling Innovation with Robust Data Management – GenAI’s Lifeline

A robust data strategy isn’t just an option for GenAI; it’s its lifeblood. Like an engine that thrives on quality fuel, GenAI relies on meticulously curated and diverse data to learn and innovate. Without it, GenAI outputs can become inaccurate and potentially harmful. Think of data as the fuel powering the GenAI engine. To ensure a robust strategy, organizations need consistent data inspection to eliminate biases and inaccuracies, providing a rich and varied dataset. By harnessing clean data, organisations pave the way for a future where AI serves humanity responsibly and inclusively.

Integrating advanced AI solutions, such as natural language processing models and predictive analytics tools, can significantly boost productivity and introduce a personalised approach to business operations. From enabling GenAI to providing reliable technical support and maintenance, a comprehensive strategy ensures that investments in technology yield effective, ethically aligned models.

Here are some critical elements to consider for a successful data management journey:

Unlock Enterprise Business Transformation

There is no doubt that the technology is catapulting mass AI adoption in ways unseen hitherto. As service providers evolve with GenAI’s rapid surge to support enterprises, the emphasis is on responsible and inclusive development, data integrity, and privacy measures for trustworthy AI operations. With data as the lifeline, establishing best practices in data strategy and management is fundamental to the success of an enterprise-wide Gen AI adoption.

In conclusion, robust data management emerges as the linchpin in the journey of Generative AI, defining the path towards transformative innovation and responsible AI adoption. As organisations prioritise data integrity, ethical considerations, and responsible AI development, they not only unlock the full potential of GenAI but also pave the way for a future where AI serves humanity responsibly and inclusively. By anchoring our strategies in data governance frameworks and ethical principles, we harness GenAI’s power as a transformative force, driving innovation, efficiency, and ethical business practices across enterprises, while safeguarding data integrity, privacy, and trust.

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In today’s data-driven world, businesses are drowning in information silos. Fragmented customer data hinders a holistic view, crippling organizations’ ability to personalize experiences, optimize marketing campaigns, and, ultimately, drive growth.

Make smarter decisions driven by data as Salesforce Data Cloud revolutionizes how organizations manage, analyze, and utilize data to drive business success.

What is Salesforce Data Cloud?

Salesforce Data Cloud is an innovative platform designed to unify data from various sources, enabling businesses to glean a 360-degree view of their customers. This unified data approach facilitates enhanced decision-making, personalized customer experiences, and optimize service operations.

Standout feature of Salesforce Data Cloud

Data Cloud creates a single unified customer profile by integrating data from multiple sources into a single, cohesive model, including:

• Salesforce CRM
• Marketing Cloud
• External applications
• Social media platforms
• Website interactions

Think of a bridge to harness data split across multiple orgs, web engagement, warehouses, lakehouses and Marketing Cloud—that can be leveraged for automation, analytics, and AI.

What’s in it for organizations?

Here’s how organizations can benefit from the platform.

• Gain a 360-degree view of your customers
• Deliver hyper personalized experiences
• Fuel smarter marketing campaigns
• Unlock actionable insights through advanced analytics

“The platform is about bringing entire organizations together around the customer to improve experiences and drive growth.” – Salesforce

Benefits of Salesforce Data Cloud

Understanding the benefits of Salesforce Data Cloud is crucial for businesses looking to tap its maximum potential; these benefits cut across several key areas:

Unified customer insights

• 360-degree view of customers: Comprehensive customer profiles built from unified data sources.
• Simplified data management: Break free from data silos and streamline data governance with a single source of truth.

Enhanced CX

• Dynamic personalization: Deliver tailored recommendations, targeted marketing messages, and exceptional service experiences based on customer behavior and preferences.
• Boost innovation: Unleash the power of AI and machine learning for predictive analytics, anticipating customer needs and customer journey optimization.

Improved operational efficiency

• Improved marketing ROI: Optimize performance and spend of campaigns by identifying high-value segments and tailoring messaging for maximum impact.
• Data-led decision-making: Garner real-time insights into customer behavior based on accurate & real-time data, allowing for informed strategic decisions across the organization.
• Resource optimization: Efficient allocation of resources through precise analytics.
• Scalability: Seamlessly handle growing data volumes without compromising performance.

Strategic business growth

• Innovative business models: Enable new revenue streams and business models through data insights.
• Market agility: Quickly adapt to market changes with real-time data.
• Competitive advantage: Stride ahead of competitors by deploying advanced data capabilities.

Helps teams across the organization to use all of the company’s data to drive productivity and deliver higher customer value. 

Deploying Data Cloud: Best practices

To derive the maximum benefits of Salesforce Data Cloud, organizations should follow best practices in data management, integration, and utilization.

Data management

• Evaluate your data landscape: Identify data sources and understand the current state of your customer data.
• Data governance: Establish clear data usage, security, and privacy policies.
• Data quality: Ensure high data quality through regular cleansing and validation.
• Data integration: Integrate data from multiple sources seamlessly for a holistic view.

Implementation strategy

• Clear objectives: Chalk out specific goals and objectives for using the Salesforce Data Cloud platform.
• A data migration plan: Outline a roadmap for consolidating customer data into the platform.
• A phased approach: Implement the platform in phases to manage complexity and ensure smooth adoption.
• Continuous Improvement: Regularly review and optimize data strategies to align with business goals.

Leveraging advanced features

• AI and ML: Utilize AI tools for predictive analytics and automation.
• Custom dashboards: Create custom dashboards for real-time monitoring and insights.
• Collaboration tools: Use built-in collaboration tools to enhance teamwork and communication.

Time-tested best practices are pivotal in successful Data Cloud journeys.  Find out how Movate can help with Data Cloud transformation.

Take the next step with Data Cloud

Salesforce Data Cloud represents a transformative approach to data management and utilization. Organizations can unearth novel insights from their data to drive innovation, foster deeper customer connections, and drive sustainable business growth by understanding its key features, benefits, and best practices.

Need expert Data Cloud guidance from the pros? Deploying and scaling Salesforce Data Cloud can be a complex process that requires domain expertise and experience. Make the right choices with the right partner.

Contact us or know more about Movate and Salesforce partnership.

Related information

• Video: Salesforce & Movate partnership
• Blog: Modernize Legacy CRM Systems: Accelerate Value with Salesforce
• Article: Choosing a Technology Partner: The Ultimate Checklist
• Blog: Salesforce Org Merge Checklist: 10-Point Guide
• Flyer: Movate’s end-to-end Salesforce offerings
• Flyer: Optimize your Salesforce ecosystem

About the author

Rajesh Dhawan is a Principal Salesforce Architect at Movate. He is a passionate architect with 17 years of experience deploying and scaling custom CRM solutions across industries and domains. Rajesh is known for crafting unique solutions for businesses’ complex requirements — his expertise spans across design, development, integrations, and administration. With a portfolio that stretches beyond Salesforce Cloud implementations to the intricacies of integrations and data migrations, Rajesh’s leadership and technical skills come to the fore in leading global teams and exceeding client expectations. LinkedIn.

The post Data Cloud: Move from data silos to a unified customer view for superior CX appeared first on Movate.

The infusion of Generative AI in CRM systems is emerging as a transformative trend, according to Gartner report, with over 80% of customers seeking to invest in CRMs are keen on complex AI/ML capabilities. As traditional or conventional approaches to sales take the back seat the demand for personalized customer engagement intensifies. With an increasing number of customers expecting personalized experiences from businesses that match their buying preferences, relying solely on traditional or manual approaches for customizing each interaction can prove challenging. Integrating GenAI in CRM systems is becoming tables takes for businesses aiming for that extra edge in a market rife with competing players.

With GenAI on the radar of every enterprise leader, CRM platforms are undergoing a transformation of their own—one that is elevating productivity and delivering unprecedented efficiency in customer service management. Real-time use cases abound: In 2023, Microsoft launched its Viva Sales, now part of Microsoft Sales Copilot, which integrates with Microsoft 365 apps and CRM systems to enhance productivity and streamline the entire sales journey. Close on the heels of Microsoft’s launch comes Einstein by Salesforce to equip the sales team. These integrations propel sales to the next-level and drive deeper customer engagement by providing insights, automating tasks, and improving decision-making for sales professionals. As the good old conventional sales strategies gradually fade away, the focus on personalized and deeper customer engagement across the journey takes the limelight.

Morphing enterprises into sales powerhouses

With GenAI-propelled CRM systems taking the center stage, businesses can redraw their typical sales funnels. How does this work? Imagine a system that completely automates every phase from prioritizing high-value leads, offering tailored product or solution recommendations based on customer behaviors and patterns, and drafting targeted communication. The all-round automation is a welcome boost to any sales team. By offering personalized engagements across touchpoints throughout the customer journey, these systems foster deeper engagement and boost sales conversion rates. When customers receive relevant and meaningful recommendations and messages revolving around their preferences, their probability of making a purchase increases. Smart personalization not only improves satisfaction but also fosters loyalty and customer advocacy, driving repeat business and attracting new customers through referrals or word-of-mouth recommendations.

With GenAI working behind the scenes, sales numbers take a turn for the better. Consider the following factors that help in boosting sales:

1. Smart lead scoring

GenAI evaluates vast data arrays to pinpoint high-potential prospects, enabling sales teams to concentrate on the most promising leads. Unlike traditional static scoring methods, GenAI applies dynamic criteria based on real-time data, such as engagement levels, past interactions, and predictive insights. This approach is likely to optimize resource allocation and increase the rate of deal closures.

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According to industry reports, 66% of sales representatives find AI tools crucial for understanding customer preferences even before the initial contact. – HubSpot

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2. Cross-selling & upselling avenues 

What would be the impact if CRMs could smartly recommend the perfect product options for each customer?

GenAI-powered CRM systems use customer data to customize product recommendations, matching each prospect’s needs. By analyzing browsing habits and past purchases, GenAI suggests products likely to resonate with each customer, mimicking the personalized service of in-store experts but on a broader scale. This approach boosts higher engagement and encourages repeat purchases, creating a loyal customer base, where customers feel understood and valued. Moreover, the timely presentation of relevant products can greatly enhance cross-selling and upselling opportunities.

3. Hyper-personalized interactions

Every interaction, from emails to sales calls, is an opportunity for connection, personalized by GenAI. This technology crafts messages that resonate personally with each customer by analyzing data points like past interactions and behavioral patterns. Such personalized engagement captures attention and strengthens emotional connections, thereby increasing customer satisfaction and loyalty, which are key drivers of conversion rates.

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According to marketing engagement services firm ‘Outgrow’, business leaders report a 67% increase in sales due to personalized communication via tools like chatbots.

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Being specific to each persona

To bring it all home, integrating GenAI into CRM systems represents a significant shift in customer engagement and overall sales strategy—a shift that is likely to witness new developments in the days to come. By deploying intelligent automation and tailored experiences, GenAI-enhanced CRMs not only improve conversion rates but also build enduring customer loyalty and advocacy. As organizations adopt this novel approach, they position themselves at the front line of the battle for the customer by offering exceptional experiences. The future of sales is indeed getting specific to each type of customer persona, and GenAI is blazing the trail toward this new era of customer-centric sales strategies.

SQL, MQL, BANT, TOFU, upselling, cross-selling and lead to conversion are top of mind for sales teams. Deploying and scaling CRM initiatives can be a complex process that requires expertise and experience. Make the right choices with the right partner. Contact us or reach out to prabhat.mehrotra@movate.com

Related information

• Blog: Modernize Legacy CRM Systems: Accelerate Value with Salesforce
• Article: Choosing a Technology Partner: The Ultimate Checklist
• White paper: Contact center transformation with Service Cloud
• Article: MQL to SQL conversion services in US: Maximize sales pipeline!
• Blog: Salesforce Org Merge Checklist: 10-Point Guide

Prabhat Mehrotra is the Associate Vice President and Salesforce Practice Head at Movate. He is passionate about helping clients deploy and scale their enterprise CRM initiatives. Prabhat is a seasoned practice and delivery leader with a plethora of experience in driving business transformation for clients. He is a sought-after Salesforce certified expert who brings rich domain nuances in solving client business problems.

LinkedIn

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Plano, TEXAS : 27th June

Movate a digital technology and customer experience (CX) services provider, announces the appointment of two distinguished growth leaders to its C-Suite team. Dariyus Setna joins as EVP and Chief Revenue Officer for ‘Digital Services’, while Chris Condon assumes the role of EVP and Chief Revenue Officer for ‘CX Transformation’. These strategic additions underscore Movate’s commitment to global growth and expansion by leveraging best-in-class executive leadership for customer acquisition and engagement.

Dariyus Setna brings over 25 years of experience with a proven track record of building and scaling strong businesses, grooming high-performing teams, and consistently driving industry-leading revenue and EBITDA growth. He has been the founder and CEO of a successful consulting business as well as held various leadership and executive roles at EY Consulting, Capgemini, Cognizant and Globant. At his last organization, Globant, Dariyus was a key member of the Executive Leadership Committee, playing a vital role in achieving 4X revenue and 5X market capitalization growth over five years.

At Movate, Dariyus focuses on developing and driving the strategy and execution for propelling business growth by engaging Movate’s executive-level prospective and existing customers through a consultative and outcome-focused model.

Dariyus, upon joining Movate, said, “As AI and various digital technologies continue to evolve rapidly, clients need a dependable digital services partner to help them evaluate, embrace, and implement these technologies to transform their businesses. Movate seamlessly brings deep industry domain expertise, relevant digital technology and process experience, boundless agility, innovation, and a maniacal focus on delivering tangible business outcomes for clients. I look forward with excitement to my journey with Movate.”

With strong analytical acumen and a visionary leadership style, Chris Condon brings over 25 years of expertise in CX, technology, and delivery solutions. Throughout his career, Chris has held various leadership roles within a leading technology and digital services organization. Prior to joining Movate, Chris had spent over 23 years at TTEC, starting in operations and eventually moving on to sales leadership. His most recent role was Chief Revenue Officer at TTEC Digital, and he previously managed the North American Sales division of TTEC Engage. Chris also managed contact center operations at Merrill Lynch with a focus on corporate equity plan administration services.

At Movate, Chris spearheads the strategy and expansion efforts of the Digital Customer Experience (DCX) and Revenue Solutions businesses, overseeing sales and account management responsibilities. His key responsibilities include shaping the company’s Go-To-Market strategies for DCX and driving new business development initiatives.

On joining Movate, Chris said, “Movate’s deep heritage in CX services, and more recent investments in digital and AI-driven CX capabilities, well ahead of other firms in the market, attracted me to Movate. I can’t wait to roll up my sleeves and get to work on being part of our growth strategy, bringing differentiated solutions to our clients, and in doing so growing our business.”

The post Movate Appoints Two Strategic C-Suite Executives to Drive Growth and Ongoing Transformation appeared first on Movate.

• Media: nasscom
• Spokesperson: Prabhat Mehrotra

As traditional, uniform sales strategies fade, the push for personalized customer engagement intensifies. Moreover, with an increasing number of customers expecting personalized experiences from businesses that match their buying preferences, relying solely on manual methods for tailoring each interaction can present challenges. Embracing GenAI technology within CRM systems is becoming essential for businesses aiming for excellence in this digital era.

With GenAI, CRM platforms are undergoing a transformation that is enhancing productivity and delivering unprecedented efficiency in customer management. And we have real examples: last year, Microsoft launched its Viva Sales, now part of Microsoft Sales Copilot, which integrates with Microsoft 365 apps and CRM systems to enhance productivity and streamline the entire sales journey. Similarly, Salesforce introduced Einstein for sales which includes Copilot and other Gen AI features, that boosts sales and customer engagement by providing insights, automating tasks, and improving decision-making for sales professionals. As traditional, uniform sales strategies become obsolete, the focus on personalized customer engagement is growing more intense

GenAI -powered CRM systems transforming organizations into a Sales Powerhouse

With GenAI-powered CRM systems, businesses can reimagine their sales funnels. How does it operate? Imagine a system that prioritizes high-value leads, offers tailored product or solution recommendations based on customer behaviors, and drafts targeted communication—all automated. Sounds incredible, isn’t it? By offering personalized touchpoints throughout the customer journey, these systems enhance engagement and boost conversion rates. When customers receive relevant recommendations and messages tailored to their preferences, their likelihood of purchasing increases. This personalization not only improves satisfaction but also fosters loyalty and advocacy, driving repeat business and attracting new customers through word-of-mouth recommendations.

To understand what goes in the background, here are a few factors that help boost sales:

1. Smart Lead Scoring

GenAI evaluates vast data arrays to pinpoint high-potential prospects, enabling sales teams to concentrate on the most promising leads. Unlike traditional static scoring methods, GenAI applies dynamic criteria based on real-time data, such as engagement levels, past interactions, and predictive insights. This approach helps optimize resource allocation and increase deal closures. According to industry reports, 66% of sales representatives find AI tools crucial for understanding customer preferences even before the initial contact.

2. Targeted Product/Solution Recommendations: 

Wouldn’t it be ideal if your CRM could suggest the perfect product for each customer?

GenAI-powered CRM systems use customer data to customize product recommendations, matching each prospect’s needs. By analyzing browsing habits and past purchases, GenAI suggests products likely to resonate with each customer, mimicking the personalized service of in-store experts but on a broader scale. This approach boosts higher engagement and encourages repeat purchases, creating a loyal customer base, where customers feel understood and valued. Moreover, the timely presentation of relevant products can greatly enhance cross-selling and upselling opportunities.

3. Personalized Communication

Every interaction, from emails to sales calls, is an opportunity for connection, personalized by GenAI. This technology crafts messages that resonate personally with each customer by analyzing data points like past interactions and behavioral patterns. Such personalized engagement captures attention and strengthens emotional connections, thereby increasing customer satisfaction and loyalty, which are key drivers of conversion rates. Business leaders report a 67% increase in sales due to personalized communication via tools like chatbots.

The Future of Sales is Personal!

In conclusion, integrating GenAI into CRM systems represents a significant shift in customer engagement and overall sales strategy. By leveraging intelligent automation and tailored experiences, GenAI-enhanced CRMs not only improve conversion rates but also build enduring customer loyalty and advocacy. As organizations adopt this innovative approach, they position themselves at the forefront of market competition, offering exceptional experiences that distinguish them in today’s dynamic business environment. The future of sales is indeed personal, and GenAI is paving the way toward this new era of customer-centric strategies.

Read More

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• Media: DQChannels
• Spokesperson: Kiran Marri

Sustainability is the driving force for the future. With growing environmental concerns, the tech world is working towards the goal of developing sustainable technology.

With ever-growing advancements in the technology domain, we witness a lot of innovations and developments. In recent times, global warming, climate change, and environmental degradation have been a matter of concern. To tackle this situation sustainability is the key. Innovation in sustainable technology is driving significant advancements across various industries, 

Addressing the critical need for environmental conservation while promoting economic growth. As global concerns over climate change and resource depletion intensify, businesses, governments, and researchers are increasingly focusing on developing technologies that minimize ecological impact.

From renewable energy sources and energy-efficient solutions to waste reduction and circular economy models, sustainable technology is poised to reshape the future, offering viable paths to a more sustainable and resilient world.

DQ Channels reached out to some of the global names in the IT sector about their vision for innovation in sustainable technology and how they are contributing.

Dr. Kiran Marri, Chief Scientist & Senior Vice President, Movate, shared how they are focussing on Sustainable Technology –

The digital revolution doesn’t have to leave the environment behind. At Movate, we lead the way in using innovation to promote sustainability. Today, with nearly 4 billion internet users and counting, digital technology is rapidly transforming our world. Both businesses and developers need to prioritize eco-friendly digital design. Moreover, the rise of remote and hybrid work models has decreased office foot traffic, but increased teleconferences, video conferences, and virtual meetings.

Without a commitment to carbon-neutral digital designs, the environmental impact will worsen. At Movate, sustainability, and developed methodologies are there to identify key factors in creating carbon-neutral websites, helping businesses scale sustainably.

Our current focus is on browser-based applications, and we plan to develop a comprehensive carbon-neutral maturity model. Having said that, our commitment goes beyond individual projects. We also minimize e-waste through responsible disposal and maximize energy efficiency in our global data centers, powered by renewable energy sources whenever possible. We believe in harnessing human ingenuity and cutting-edge technology to build a future where businesses thrive alongside a healthy planet.

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Securing top talent in today’s job market requires more than just competitive pay; candidates these days seek meaningful connections with organizations whose values align with their own. For organizations to acquire the right skilled talent and thrive in this competitive landscape, a blend of cutting-edge technologies and a personalized, human-centric approach plays a vital role.

Technology: A dynamic catalyst for transformative TA

The influence of technology on Talent Acquisition (TA) is undeniable. Automation, AI-powered insights, and Generative AI are some of the innovations that have unlocked new potential in modern recruitment.

The recruitment process has undergone a digital transformation through automation and data-driven insights, with tools like Applicant Tracking Systems (ATS) streamlining the process. These tools automate time-consuming tasks like screening resumes and scheduling interviews, freeing up valuable time for recruiters to build meaningful connections with potential hires. Predictive analytics, used by over half of organizations, elevate recruitment to a strategic level, allowing companies to identify talent aligned with future goals. Gartner states that by 2025, 60% of global midmarket and large enterprises will have deployed recruitment process automation., indicating a shift towards a more strategic and data-driven approach to recruitment and retaining the talent they need to thrive.

Building upon these automated solutions, Gen AI is taking talent acquisition to a new level. The ascent of Gen AI in recruitment marks a pivotal moment in the evolution of talent acquisition strategies. It goes beyond automation, providing deeper insights into candidate compatibility with company culture, potential career paths, and adaptability, heralding a shift towards proactive recruitment practices that enable businesses to stay agile amidst market fluctuations.

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76% of HR leaders believe that if their organization does not adopt and implement AI solutions, such as generative AI, in the next 12 to 24 months, they will lag in organizational success compared to those that do. – Gartner

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The ability of Gen AI to enhance recruitment by creating personalized content and improving candidate interactions through custom job descriptions and chatbot assistance thereby enriches the overall recruitment experience while setting a new standard for talent acquisition excellence.

Technology also plays a crucial role in promoting Diversity, Equity, and Inclusion (DEI) in the workplace. For instance, generative AI can be used to craft job descriptions that appeal to a broader range of demographics, thus identifying and engaging a diverse talent pool. This approach has proven effective, with gender-neutral job listings seeing a 42% increase in responses (according to zip recruiter), highlighting the role of technology in attracting diverse candidates. Similarly, there are AI-driven gender pay equity tools that help organizations to resolve pay inequities, reduce risks, increase diversity and drive organizational success. Nevertheless, it is the integration of these human-centric strategies that ensures translation of efforts into a truly inclusive workplace. Going beyond merely attracting diverse talent, these thoughtful, people-focused approaches ensure that every employee feels valued and included, thereby fostering an environment of equity and inclusivity.

Human connection: The essential ingredient that elevates TA

Despite the digital age, the human connection remains invaluable in talent acquisition. By nurturing human connections throughout the talent acquisition journey, organizations can cultivate a thriving and engaged workforce that contributes to long-term success.

At Movate, the recruitment journey commences with the recruiters’ initial engagement with candidates. From elucidating the job description to delving into the company’s history and culture, recruiters enrich candidate conversations, aiding individuals in aligning their aspirations with organizational objectives. These dialogues facilitate candidates’ comprehension of whether Movate represents the ideal professional fit. Establishing trust through consistent communication and personalized interactions throughout the recruitment process fosters a robust first impression and encourages sustained commitment. Subsequently, personalized onboarding and communication processes along with the “recruitment experience” feedback survey are implemented. While digital tools streamline hiring procedures, personalized onboarding experiences, driven by authentic human interaction, are pivotal in fostering a warm and inclusive atmosphere. While technology enhances efficiency, it is the human element that nurtures enduring relationships and allegiance, ultimately contributing to organizational success.

Another key aspect of incorporating the human touch in talent acquisition is prioritizing work-life balance and mental well-being. Given today’s tech-driven recruitment landscape, acknowledging each candidate’s individuality is crucial. Companies are moving beyond the confines of traditional 9-to-5 structures, offering flexible work arrangements to promote work-life balance. Recognizing this link between mental health and well-being, organizations view mental health support not just ethical but as strategic.

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60% of employees and 75% of the C-suite say they’re seriously considering quitting for a job that better supports their well-being. – Deloitte

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An investment in mental health encourages a supportive workplace culture, enhances morale, and contributes to the overall well-being and productivity of employees.

The future of TA: Leveraging tech & human-centric strategies

The modern workspace is both digital and physical. Advanced tech tools facilitate management and collaboration in this dispersed environment, while human-centric strategies ensure remote work equates to a manageable amount of impersonal. According to McKinsey Research, 83% of employees cite the ability to work more efficiently and productively as a primary benefit of working remotely.

Organizations are actively enhancing employee well-being through innovative support measures. These range from providing round-the-clock assistance to introducing HR chatbots for immediate query resolution, enforcing digital detox periods to alleviate screen fatigue, and through virtual mindfulness sessions.

The seamless integration of technology and human touch will lead the way for a comprehensive and future-ready approach to recruitment. The future of talent acquisition isn’t a binary choice between hi-tech and hi-touch; it’s about combining both for holistic, future-proof success. While advanced tools can help us, it’s crucial to cherish the human connection. The true artistry of talent acquisition lies not just in harnessing the potential of technology but in recognizing the unique stories behind each candidate.

Related information

• Blog: CEO, Sunil Mittal, recognized by Comparably  
• Article: Digital Workplace Evolution Factors: Key Shaping Components
• Award: Movate Wins nasscom Award 2023 for Digital Skills
• Article: Movate’s Vibrant Workforce: Key Strategies Unveiled for Success

Author

Asha Malini is the Global Director of Talent Acquisition, Global Leadership & Strategic Hiring, Movate. She is a certified mindfulness coach, a human potential life coach and entrepreneur. Asha is a strong believer in HR Technology innovation and thoroughly enjoys working on new age HR projects to drive digitization of the HR processes and simplify work lives. LinkedIn

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