Tag: CXM

Bringing the Vision of Unified Customer Experience (CX) to Fruition: Shining a Spotlight on Sprinklr | Blog

After previously zooming the lens in on how Salesforce has helped global enterprises to provide a holistic customer experience approach through its integrated set of offerings, this time we focus on another CX tech vendor, Sprinklr, that offers a unique category of enterprise software, which it terms as “Unified Customer Experience Management”.

Unified Customer Experience Management (Unified-CXM) empowers all customer-facing teams in an enterprise, from support, to sales and marketing, in order to then collaborate effectively, communicate across digital channels, and leverage an artificial intelligence (AI)-powered platform to deliver consistent and cohesive customer experiences at scale. In this blog, we shine a spotlight on Sprinklr and its evolution. Reach out to discuss this topic in depth.

Today’s consumers interact with brands across a range of touchpoints. Naturally, the modern customer journey is a complex and multi-faceted one, often involving a combination of channels and modalities.

Enterprises want a comprehensive view of these interactions—from marketing, through sales, to post-sales support—to maintain effective customer engagement across the lifecycle.

However, most enterprises still rely on legacy customer relationship management (CRM) systems that are not tightly integrated with customer facing tools and applications, which becomes a hindrance to delivering real-time personalized engagement. This leads to customer dissatisfaction and a loss of trust in many cases.

Sprinklr’s Unified-CXM platform is designed to address these challenges by helping enterprises eliminate silos, access and analyse unstructured digital data and leverage AI to generate a unified view of each customer’s journey. This approach allows customer facing teams to better assist customers, share knowledge, and collaborate, ultimately enhancing the overall customer experience.

Sprinklr’s platform is comprised of four product suites—Service, Marketing, Insights, and Social—which when brought together support enterprises in better managing the end-to-end customer journey.

These suites operate on a single, unified AI-powered platform, enabling enterprises to streamline customer interactions across multiple touchpoints. Each product suite offers distinct capabilities, which will be examined in more detail below.

Picture1 2

(Image courtesy: Sprinklr)

Sprinklr’s product suite:

With the rise of digital channels such as Instagram, TikTok, and WhatsApp, among others; customers are now more connected and empowered than ever before, offering continuous real-time feedback to express their concerns or frustrations.

This shift makes personalized and real-time customer engagement crucial for brands. Sprinklr’s product suite addresses these evolving needs, offering enterprises solutions to enhance engagement, gain insights into customer sentiment, and take proactive measures when necessary. Each suite provides a range of solutions that enterprises can implement either individually or as a bundle –

  • Sprinklr Social – This suite offers AI-powered tools to unify social media publishing and engagement across more than 30 channels. It enables enterprises to manage and analyze social media content, monitor conversations, and improve customer interactions. Key products include:
    • Social Publishing & Engagement: Supports teams with digital asset management, editorial calendaring, and omnichannel publishing
    • Employee Advocacy: Enables organizations to leverage employees in brand promotion, boosting awareness, and generating leads
  • Sprinklr Insights – Sprinklr Insights unifies data across customers, competition, as well as the industry, from both traditional and digital channels, allowing enterprises to monitor customer sentiment and industry trends in real time Key products include:
  • Social Listening: Which enables enterprises to understand unstructured data from 15+ digital channels, as well as automatically identify trends/anomalies to act upon
  • Competitive Insights & Benchmarking: Which enables enterprises to benchmark their social performance against competition and monitor influencers across eight social channels
  • Sprinklr Marketing – Focused on planning, executing, and optimizing marketing campaigns, this suite enables enterprises to manage content creation, collaboration, and performance tracking across multiple channels. Key products include:
  • Campaign Planning & Content: Marketing which has capabilities like brand governance, cross-channel publishing/distribution, briefing, copy assistance and localization

Ads Comment Moderation: Which aids enterprises in managing comments on paid posts at scale, brands can moderate testimonials, product feedback, and urgent customer service queries

  • Sprinklr Service – Sprinklr’s Service Suite is a comprehensive Contact Center as a Service (CCaaS) solution for managing customer support across voice and digital channels. It integrates AI-driven automation, self-service, and agent assistance tools, in order to provide customer care at scale through voice, messaging, social media, and other digital platforms. Products within this suite include –
  • Sprinklr Voice: For managing inbound and outbound interactions with capabilities such as Interactive Voice Response (IVR), Automatic Call Distribution (ACD), Agent Assist, AI-driven nudges and predictive dialers, and omnichannel workflows
  • Conversational AI chat and voice bot solution: Which comes with a use case library and industry-specific/intent-based bot workflows, as well as Workforce Management & Quality management for contact center managers

Some of Sprinklr’s strategic differentiators include:

  • Unified architecture: Sprinklr’s single-codebase platform allows enterprises to seamlessly integrate channels, unify customer journeys, and accelerate innovation through a “build once, deploy everywhere” model
  • Advanced listening: The platform captures unstructured data from 450 million daily conversations, providing comprehensive social listening and analytics
  • Purpose-driven AI: While it has its proprietary AI models which are industry-trained, it also allows enterprises to integrate other industry-leading generative AI (gen AI) models, which it calls Sprinklr AI+. Sprinklr AI+ leverages generative AI in all four Sprinklr product suites and is powered by integrations with OpenAI, Google Cloud’s Vertex AI and Microsoft Azure OpenAI Service
  • Scalable enterprise-grade platform: This platform is designed to meet industry security standards, including ISO 27001, HIPAA, PCI-DSS, and SOC compliance, making it a scalable solution for large enterprises

Powered by Sprinklr AI+, it has also recently launched Sprinklr Digital Twin, a new AI technology designed to enable enterprises to build and deploy autonomous and intelligent AI applications, that can mirror and enhance the capabilities of customer-facing teams.

While Sprinklr’s service suite has become an established offering, the company’s broader vision remains becoming the core operating system for all front-office teams supporting all conversations that an enterprise can have with its customers.

If you found this blog interesting, check out our blog focusing on Building Purpose-Driven Generative AI (gen AI) – Why We All Have A Role To Play In The Future Success Of The Gen AI Ecosystem  | Blog – Everest Group (everestgrp.com), which delves deeper into the topic of artificial intelligence.

If you have any questions, have further interest as we continue to investigate best in-class vendors to support your CX transformation journey, or would like to reach out to discuss these topics in more depth, please contact Anubhav Das and Sharang Sharma.

Customer Experience Management (CXM) Services PEAK Matrix® Assessment 2024 – EMEA

Customer Experience Management (CXM) Services PEAK Matrix® Assessment – EMEA

The Customer Experience Management (CXM) market in the EMEA region has been resilient in the face of a difficult macroeconomic environment, driven by the diverse economic landscape and accelerated digital transformation. Specific growth drivers include increased AI and automation adoption, rising demand for enhanced customer service, substantial investments in digital infrastructure, and a notable surge in demand from the energy and utilities sector amid a global energy crisis.

Enterprises across EMEA are aggressively advancing their digital transformation strategies, prompting providers to focus on delivering highly customized digital Customer Experience (CX) solutions strongly emphasizing data privacy and security. AI-driven personalization and localized service delivery’s growing demand reflects the region’s rich cultural and linguistic diversity. To support these evolving needs, providers are establishing centers of excellence dedicated to deploying advanced solutions such as knowledge-as-a-service, conversational AI chatbots, and agent-assist tools, which are driving innovation in digital CX, including gen AI technologies’ integration. Furthermore, many providers are strategically partnering with hyperscalers and AI providers to enhance their AI capabilities and expand their service offerings.

Customer Experience Management

What is in this PEAK Matrix® Report

In this report, we analyze 37 CXM service providers’ capabilities across industries in EMEA. Each profile examines the provider’s service focus, key IP and solutions, domain investments, and case studies.

Scope:  

  • Industry: All
  • Geography: EMEA
This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading CXM service providers, client reference checks, and an ongoing analysis of the CXM services market.
 
Contents:
 
In this report, we: 
 
  • Examine the CXM market in EMEA
  • Assess providers’ key strengths and limitations
  • Provide sourcing considerations for enterprises
READ ON
 

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What is the PEAK Matrix®?

The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.

LEARN MORE ABOUT Top Service Providers

Addressing the Doom Loops in Customer Service: An Opportunity of Market Differentiation for Financial Institutions | Blog

On August 12th, 2024, the Biden administration launched a new initiative – Time is Money – to crack down on all the ways that enterprises try to avoid customer queries and issue resolution by trapping them in arduous cycles of automated communication (doom loops), as well as not connecting them directly to a human agent.

Fast forward a few months and the administration has taken an unfavorable view of the situation and since stated that companies have established these cumbersome processes by design, to deter consumers from getting their monetary due (in the form of refunds or subscription cancelation), along with adding to their daily frustration, as inevitably they then profit from customers ultimately giving up.

This blog explores the concept of doom loops and analyses customer pain points and their impact on brand loyalty and regulatory compliance. Additionally, it provides strategic recommendations for enterprises on how to address these issues, particularly in their outsourcing contracts.

Reach out to us to discuss this topic further with our expert analysts.

Introduction: from interactive voice response (IVR) to chatbots

Doom loops refer to the frustrating and often endless cycles customers experience when trying to resolve issues through automated systems. The concept of doom loops in customer service has its roots in the early days of IVR systems, which were widely adopted by companies in the 1980s and 1990s.

IVR systems allowed businesses to handle a large volume of customer calls by automating the initial stages of interaction. However, these systems often became a source of frustration for customers who found themselves trapped in an endless cycle of menu options, unable to reach a human representative or resolve their issues.

As technology advanced, chatbots emerged as a new solution, promising to enhance customer service by providing instant, 24/7 support. However, these chatbots have inherited many of the same issues that plagued IVR systems. Customers often find themselves in a similar doom loop, where the chatbot fails to understand their query, provides inaccurate information, or directs them through a series of irrelevant responses before they can reach a human agent. This problem is particularly pronounced in industry verticals such as banking and financial services where customer inquiries often involve sensitive and intricate issues.

The evolution from IVR to chatbots was intended to improve efficiency and customer satisfaction, but in many cases, it has simply shifted the medium of the doom loop from telephones to digital interfaces. While chatbots offer the potential for greater scalability and personalization, they also present new challenges in ensuring that customer interactions are meaningful and effective.

Consumer pain points and the impact on brand loyalty

Customers’ experiences with chatbots and IVR systems can be frustrating, particularly when they encounter a doom loop. Common pain points include:

Consumer pain points and

Focus on banking and financial services

While doom loops exist across verticals, in the financial services industry, these pain points can have particularly severe consequences. Financial institutions handle sensitive information and transactions, and customers expect a high level of accuracy, security, and responsiveness.

When these expectations are not met, it can lead to a significant decline in customer trust and loyalty. Banks and financial institutions have attempted to address these issues by creating specialized flows for critical areas such as fraud detection, financial crime, and compliance. These flows are designed to quickly escalate issues to human agents, ensuring that high-priority concerns are handled efficiently. However, despite these efforts, many customers still experience frustration, particularly when the automated system fails to recognize the urgency of their issue or mistakenly routes them through a generic flow.

This situation is particularly concerning in the context of fraud detection. Customers who suspect fraudulent activity on their accounts expect immediate and effective assistance. If they are caught in a doom loop, the delay in resolving the issue can lead to significant financial losses and a complete breakdown of trust in the institution.

A prime example of this is the Wells Fargo unauthorized accounts scandal, where sales employees opened millions of unauthorized accounts to meet their targets. Irate customers faced difficulties in account closure and resolving related issues quickly because of long wait times and unhelpful responses, which saw a loss of customer trust, widespread media coverage, frustrated customers and employees, penalties for the organization, and eventually significant customer attrition.

Regulatory scrutiny and potential liabilities

The growing reliance on chatbots and automated systems in customer service has not gone unnoticed by regulators. In recent years, there has been increasing scrutiny from regulatory bodies such as the Consumer Financial Protection Bureau (CFPB) in the United States. These regulators are concerned about the potential for these systems to create barriers to effective customer service, particularly in critical areas such as fraud detection and compliance.

The CFPB, for example, has initiated actions targeting financial institutions that rely heavily on automated systems without providing adequate human support. The agency’s primary concern is that these systems can lead to consumer harm, by delaying the resolution of critical issues or providing inaccurate information. Therefore, it has proposed new rules that would require financial institutions to ensure that customers have easy access to human representatives, possibly by clicking a single button. It is also planning to issue rules or guidance to crack down on ineffective and time-wasting artificial intelligence (AI) or chatbots used by banking and financial services (BFS) enterprises for customer service and identify use cases in which usage of voice recordings (IVR) is illegal.

The implications for financial institutions are significant. Failure to comply with these regulatory expectations can result in substantial fines and legal penalties, not to mention potential damage to the institution’s reputation. In an environment where evolving regulatory compliance is already a significant challenge, the additional burden of ensuring that automated systems do not create doom loops adds another layer of complexity.

Strategic recommendations for brands

Given the risks associated with doom loops in customer service, enterprises must take proactive steps to address these issues. Here are some strategic recommendations:

Strategic recommendations for brands

By taking these steps, enterprises can mitigate the risks associated with doom loops and ensure that their customers receive the level of service they expect and deserve.

Exceptional customer experience = sustained customer trust

The issue of doom loops in customer service is not new, but it has taken on new dimensions in the digital age as brands increasingly rely on automated systems. Ultimately, the success of enterprises in today’s competitive environment depends not only on their ability to manage costs but also on their commitment to providing exceptional customer service.

By focusing on the needs of their customers and avoiding the pitfalls of doom loops, enterprises can build and maintain the customer trust and brand reputation that is essential to their long-term success.

If you found this blog interesting, you can read our Decoding The EU AI Act: What It Means For Financial Services Firms | Blog – Everest Group (everestgrp.com) blog, which delves deeper into the topic of regulatory compliance for financial services firms.

If you’d like to discuss the impacts of doom loops on customer experience in financial institutions in more detail, please reach out to Dheeraj Maken or Aishwarya Barjatya.

Customer Experience Management (CXM) Services PEAK Matrix® Assessment 2024 – APAC

Customer Experience Management (CXM) Services PEAK Matrix® Assessment – APAC

In 2023, the APAC region’s Customer Experience Management (CXM) market witnessed moderate growth, fueled by the adoption of omnichannel solutions, generative AI, and cloud services and the evolving social media landscape. Enterprises seeking to collaborate with CX service experts are driving this expansion to reduce costs, diversify operations, and support regional expansion. The travel and hospitality sector notably increased its CXM outsourcing due to a surge in tourism in countries such as Malaysia, Singapore, and the Philippines, while telehealth services’ rise in India and China spurred CXM’s demand in healthcare. Additionally, increasing mobile penetration and retail and e-commerce growth have amplified digital CXM solutions’ need across the region.

Providers have established centers of excellence focused on deploying advanced solutions, such as knowledge-as-a-service, conversational AI chatbots, and agent-assist tools, to accelerate innovation in digital CX, including generative AI. Many providers are also partnering with hyperscalers and AI startups to bolster their AI capabilities and broaden their service offerings.

Customer Experience Management

What is in this PEAK Matrix® Report

In this report, we analyze 29 CXM service providers’ capabilities across industries in APAC. Each profile examines the provider’s service focus, key IP and solutions, domain investments, and case studies.

Scope: 
 

  • Industry: all
  • Geography: APAC
This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading CXM service providers, client reference checks, and an ongoing analysis of the CXM services market
 
Contents:
 
In this report, we: 
 
  • Examine the CXM market in APAC
  • Assess providers’ key strengths and limitations
  • Provide sourcing considerations for enterprises

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How has Generative AI Evolved and is its Evolution Now Supporting CX Leaders More on the CXM Journey? | Blog

The landscape of Customer Experience Management (CXM) has witnessed a remarkable transformation within the advent of Generative AI (generative artificial intelligence). Based on periodic comprehensive studies conducted by Everest Group with customer experience (CX) leaders from over 300 enterprises globally, we present comparative insights that highlight the progress made in the past year (2023 to 2024).

Using two different primary studies, research has been conducted regarding gen AI in CXM operations, in the process providing our perspective on future developments.

Reach out to us to discuss this topic further with our expert analysts.

Adoption of digital CX solutions – 2023 vs 2024

Propelled by gen AI, a significant shift has been observed in the adoption of digital CX solutions such as automation, self-service, conversational artificial intelligence (AI), data and analytics, and migration to cloud contact centers.

There was a 15-30% increase in the number of enterprises having deployed these solutions from 2023 to 2024.

Blog The Evolution of Generative AI Exhibit 1

 

Generative AI awareness and its potential

Noteworthy changes in the awareness and potential of various gen AI use cases were also observed during this analysis. In 2023, while most enterprises had a good understanding of applications such as text, image, and code generation, few had robust knowledge of other application areas.

However, this scenario changed significantly in 2024. The majority of enterprises across industries now report having a solid working knowledge of various gen AI applications. Many are even considering synthetic data generation and audio and video generation as high-potential applications for gen AI in CXM.

Blog The Evolution of Generative AI Exhibit 2

The role of third-party providers

The role of third-party providers has become pivotal for enterprises, as they look to navigate complexities. Their importance is increasingly becoming more significant as enterprises realize the various nuances required in developing these solutions.

Blog The Evolution of Generative AI Exhibit 3In 2024, there is a significant uplift in enterprises opting for tech-heritage or specialized AI companies, to use for implementation of gen AI, to be able to leverage their expertise in this technology and achieve faster time to market.

Additionally, more enterprises are outsourcing to contact center providers for gen AI integrations, capitalizing on their CXM domain expertise to better customize customer journeys and improve productivity and CX metrics.

Conversely, there has been a notable decline in the hybrid approach to gen AI development which combines both in-house and outsourced development. From a whopping 70% in 2023, the percentage of enterprises preferring this mode has reduced to only around 30%. This decline, accompanied by a decline in internal development, can be attributed to the change in business priorities for organizations and their need to have eagle-eyed focus on improving their core competencies and achieving their business objectives of revenue improvement, cost reduction, and adapting to new business challenges.

Enterprises choosing to invest wisely in their long- and short-term approach to Gen AI

From a financial perspective, enterprises exhibited a more optimistic stance toward generative AI adoption in 2023, with nearly two-thirds planning to invest over US$1 million in the next 12-18 months on gen AI solutions in CXM.

However, as the technology has matured, enterprises now have a clearer understanding of the returns these investments can generate. Over the past year, many enterprises observed that a significant number of gen AI pilots failed to progress to the deployment phase.

Consequently, in 2024, enterprises have taken a more cautious approach toward gen AI adoption. They now prefer to evaluate each application on a use-case basis before committing to full-scale investments. This shift is reflected in the investment budgets for gen AI, with only half of the enterprises (down from two-thirds) now planning to spend more than US$1 million on these initiatives. This decrease in investments on gen AI is propelled further by the current difficulties in the macroeconomic and business environments, where organizations are placing cost reduction and revenue enhancement as their top priority.

Blog The Evolution of Generative AI Exhibit 4

This cautious stance, however, does not mean that there is a decrease in the perceived potential of gen AI. 2025 continues to hold promise of a booming gen AI adoption. In fact, more than 80% of the enterprises plan to invest more than US$1 million in 2025. As gen AI continues to demonstrate its potential and deliver its promised outcomes, enterprises are likely to embrace it with increased enthusiasm.

If you found this blog interesting, registrations are now open for our Gen AI Unhyped: How It Is Evolving And How To Plan For Success | LinkedIn Live – Everest Group event LinkedIn Live event on September 11, 2024!

If you have questions or want to discuss CX strategies and solutions, please contact Mohit Kumar at [email protected] or Aishwarya Barjatya at [email protected].

Are Investors Right to Be Nervous about CXM Providers? Well, It Depends! | Blog

Generative AI (gen AI) is transforming the customer experience management (CXM) landscape, challenging traditional contact centers. While concerns about declining revenues and increased costs are valid, many traditional methods, like human interaction, are still needed for complex customer issues. Read on to discover strategies to improve CXM provider success in a technology-driven market. Reach out to discuss this topic in depth.

Over the last 12+ months, we have seen a massive drop in the stock performance of nearly every publicly traded customer experience management (CXM) service provider. This has mainly been driven by nervousness in the market about how generative AI will impact the need for contact centers, especially in the way they are operated today, which is very reliant on vast numbers of people.

In this blog, I will explain why, in answer to the question, “Are investors right to be nervous?” I give the very vague answer of “It depends.”

The possible impact of generative AI on traditional contact centers and CXM providers

Firstly, we need to understand what could be causing some of the angst among investors, and full disclaimer: I am not positioning myself as an expert investor. There may be very technical reasons why investors are right to be nervous, but I am looking at it as someone who has bought contact center services for some of the world’s leading brands and has a good understanding of how this environment works.

Let’s explore the ways gen AI or next-gen technology could impact traditional contact centers and CXM providers:

  • Traditional contact center businesses have been successful in building large workforces and real estate portfolios, and there is an expectation that the use of technology, brought to large-scale attention by the hype around gen AI, will dramatically reduce the need for humans and, in turn, the need for large real estate portfolios. This assumption means that service providers will have dramatically increased exposure to their real estate costs and will see their main source of revenue, i.e., humans, reduced or removed completely
  • Therefore, the revenues of the impacted service providers will decline over the coming years as more customer interactions are handled by technology, making the companies operating in this space less attractive, if judged on revenue performance alone
  • There is constant talk about new entrants to the CXM market and how a pure technology play, for example, Conversational AI, much improved by the use of gen AI, could replace the need for human interaction, therefore giving birth to a whole new set of CXM providers who only bring technology. This, if true, would have a dramatic impact on traditional players

Any sensible person looking at the factors I have outlined above would be right to be nervous about the future of traditional contact center players. However, this would be missing a few key factors often overlooked or at least given less priority than the concerns. Some of these factors include:

  • People still want to talk to people at times of high stress or when they perceive the problem as complex or emotive. Despite the rapid rise of technology aimed to reduce the amount of human interaction in the contact center, such as robotic process automation (RPA) or Conversational AI (CAI), which has been around for many years, over 70% of service provider revenues are still coming from the voice channel. This proves customers still want to talk to people, and even with the inclusion of gen AI, the shift to non-voice channels is not going to happen overnight
  • When having a negative outlook for traditional contact center players, it assumes that they are standing still and doing nothing to embrace the new technologies, which is totally incorrect. Most of the leading CXM service providers we assess as part of our CXM PEAK Matrix © Assessment are investing heavily in a wide range of technologies that will improve the customer experience and reduce the need for human-assisted contacts, but also, and equally as vital, allow support agents to be more effective and efficient, therefore reducing total cost to serve for customers
  • Many providers, mainly since the pandemic, have already been working hard to reduce their real estate exposure driven by the increased use of work-at-home models (which have reduced since the pandemic abated but are still very prevalent in certain markets)
  • Additionally, we know from recent research that enterprises are increasingly looking to service providers to support them in deploying technologies such as gen AI. These providers bring a high degree of domain expertise and understand customer’s problems, and therefore, are best placed to deploy solutions using the latest technologies. This will present additional opportunities for providers who can demonstrate capabilities in this area

So why did I say it depends? I strongly believe that CXM service providers can thrive in this new market but need to embrace a new reality, which includes working hard in a number of areas.

Strategies for enhancing CXM provider success in a technology-driven market

  • Build solutions that address business problems – This entails not just the generic “reduce cost” or “improve CSAT” but real business challenges where CX can drive significant change in the business metrics
  • Demonstrate differentiation – With a large percentage of the market trying to move away from the traditional moniker of a “call center provider” and trying to demonstrate a shift toward digital solutions; it is important that they demonstrate, not just tell, the story of how they are solving real business problems for their customers by bringing together the power of their people with the available technologies to offer the best solution for the customer
  • Build strong technology partner ecosystems – Partnerships allow providers to deliver technology solutions across the customers’ journey – this includes, of course, the use of LLMs and gen AI, but can be as simple as having solutions in place to improve the employee experience or to provide timely insights through analytics. Most buyers want their providers to be able to bring an end-to-end solution and are no longer just looking for a provider that can only provide people. Humans, supported by and, where possible, improved by technology, are the type of solutions customers are demanding. Those that are pivoting in this direction can continue to grow their customer base
  • Develop flexible delivery models – Providers should leverage work at home as well as other sources of talent (GIG and Impact Sourcing, to name just two) to meet the changing demand both in terms of when support is needed and the type of skills that are required
  • Build commercial models that allow both parties to benefit from efficiencies – Commercial models should go beyond the traditional per FTE, per transaction, or per minute models and allow buyers to visualize and, more importantly, realize the value that a more efficient operating model can deliver
  • Use technology to solve operational challenges – This helps operations run smoother and more efficiently. While using all the technology available to resolve a customer’s issue is an obvious application, those providers that will thrive in the future will also be investing in technologies and skills within their organization that address operational challenges most effectively
  • Develop a culture that recognizes that revenue is not the only metric – While important, it is more impactful to focus on the margin of the work because as a business deploys more technology-led solutions, the revenue may decline, but the business that replaces it should be more profitable
    • This will also require a total evaluation of how people are rewarded within the business to recognize the value of deploying solutions that may bring lower revenue but provide a better and longer-lasting business benefit
  • Be forward-looking when it comes to skills that will be required in the future – Build location and talent strategies that will provide the talent required for the future in order to maximize the benefits available from a human and technology model
  • Develop strong account management disciplines – We know from recent studies that when there is limited differentiation in the market, as there is in the CXM space, the one deciding factor that tips a decision in the service provider’s favor is the strength of their account management
  • Use the technology to improve the employee experience (EX) as well as CX – Leverage the available technologies to remove mundane and frustrating tasks from employees, allowing them to focus on value-adding work. We all know that happy agents deliver a better experience

In summary, I am not pessimistic about the future of the CX arena. We know that the markets tend to overreact in the short term to new stimuli, gen AI in this instance, and underreact in the longer term, and this could be the same.

Will every provider in this space today be successful in three years? Probably not, but the size of the CXM environment (we estimate it to be well over US$330 billion, including insourced and outsourced activity) represents an excellent opportunity for those businesses that can evolve and meet the fast-changing needs of customers.

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