Ecosystm Predicts: The Top 5 Trends for Customer Experience in 2022

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Since early 2020 nearly all organisations have strengthened their online presence and commerce abilities – irrespective of their industry. They have come to terms with the fact that the ability to win and retain customers, is largely linked to the digital customer experience (CX) they are able to deliver. ​

They have invested heavily in their CX roadmaps and technologies; but will find themselves solving for the same challenges they have faced the last 2 years – continued growth of digital experiences; gaining insights from customer data; customer churn; and catering to customer channel preferences.

2022 will be the time to consolidate and build the capabilities required to analyse the immense amount of customer data that they have access to – to finally be able to offer personalised customer experience.​

Read on to find out what Ecosystm Advisors Audrey William and Tim Sheedy think will be the leading CX trends in 2022.

Click here to download Ecosystm Predicts: The Top 5 Trends for Customer Experience in 2022 as a PDF

Ecosystm Predictions 2022
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Ecosystm Red: Global Digital Futures Awards for FinTech

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Recognising FinTechs that are changing lives, creating impact, demonstrating innovation, and building ecosystems to shape the Digital Future.

CATEGORIES:

Global Platform. Organisations that provide a platform to bring together industry stakeholders such as financial services institutions and FinTechs to drive ease of collaboration and innovation by accelerating proof of concept deployments

Financial Inclusion Impact. Organisations that promote financial inclusion in the unbanked and the underbanked with a focus on bridging the economic divide

Sustainable Finance Impact. Organisations that promote sustainable finance and have ESG values

Global Banking. Banks and financial services organisations that embrace digital technology for excellence in customer experience, process efficiency and/or compliance

Global Payments. Innovative use of technology and business models in payment areas

Global Lending. Innovation in alternative finance in areas such as microfinance for individuals and small & medium enterprises, P2P lending and crowdfunding

Customer Experience. Organisations that are driving an exceptional experience for their customers and setting new benchmarks within the industry

Global InsureTech. Excellence and innovation in InsureTech in areas such as micro-insurance, usage-based pricing, process optimisation and underwriting efficiency 

To find out about the winners, read on.

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To download Ecosystm Red: Global Digital Futures Awards for FinTech Awards Winners as a PDF, please click here.

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The Role of Workforce Experience Management and EX Applications in Contact Centres

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Agents are the biggest assets in a contact centre and agent attrition is not a new challenge – 40% of contact centres globally state that high staff turnover is one of the challenges of driving consistent customer experience (CX). The ability to find the right talent has been equally challenging. The pandemic and the hybrid work model have made it harder to manage the onboarding, training, and the other processes required to get the agent up to speed on the job. Despite the challenges contact centres need a strong focus on managing the experience for the agents – they are a company’s front-line staff and the experience they deliver to the customers has an immense impact on the brand.

Workforce Experience Management (WEM) tools have gone beyond just scheduling – they are now able to leverage data and analytics to allow agents more control over their performance and their work preferences. Additionally, Agent Assist and knowledge management solutions give contact centre agents dynamic access to intelligent data. Ecosystm research shows that contact centres across the globe are ramping up their investments in employee experience (EX) technologies (Figure 1). They are focused on simplifying agent workload and offering more flexibility.

How do you elevate the Agent Experience in the Hybrid Work Model?

  • Encourage shift bidding. Build flexible scheduling and shift bidding into the company culture. Agents should be encouraged to work on a schedule that works best for them. If you are employing part-timers, retirees or you have agents working from home, you have to factor in their home commitments. Additionally allowing them to bid and openly talk to their managers and colleagues about swapping shifts demonstrates a company culture of open communication and collaboration. So, in essence, this is not a scheduling conversation, but an image-building exercise. You will be able to attract more talent, in an industry where it is hard to retain talent.
  • Evaluate your agents’ strengths in voice and self-service channels. Not all agents are good with voice calls and this can sometimes be overlooked by contact centre leaders. Your organisation’s brand image depends on the customer care your employees provide. Voice calls are still important; despite the increase in the adoption of AI and automation, the human touch remains critical. It is important for agents to be as authentic as possible on calls. Assigning the right agent to the right channel, keeping in mind their strengths and weaknesses will help your organisation to maintain the human touch. For example, some agents may be able to multitask well and are better prepared to manage multiple channels simultaneously.
  • Your knowledge system is critical. Make sure it is relevant and not outdated! Your agents have limited time on their hands. They often need information urgently, especially when dealing with a difficult customer. An updated knowledge system allows your agents to be consistent in their messages and their delivery. This helps agents to meet the AHT, FCR and other metrics and reduces human errors. Nearly 60% of contact centres globally rate improving knowledge management systems as a CX priority. There is still a lot of data inconsistency and irrelevance which needs to be worked through. An accurate and updated knowledge management system is critical, and it should be ONE source of truth. For compliance reasons, data consistency is critical. Also, the search for the information must be easy and only relevant articles and information should be pushed to live agents. The need to access multiple knowledge systems and CRM tools creates additional stress on agents.  
  • Give your agents access to call recordings. When your agents have access to the call recordings, they can evaluate how they have performed; and reflect and improve on the outcomes at their own pace. This will also allow them to spot the mistakes they are making, often prompting them to reach out to their manager and/or colleagues for help on how to avoid them. Often managers have access to sentiment analysis applications to spot issues from the tones of the agents and the customers. This can be useful in situations where the agent might have provided the right answers, but the customer is not fully satisfied. Giving equal access to the agents empowers them to find ways of improving the CX they deliver.  
  • Invest in advanced technologies around forecasting and scheduling. AI and self-adjusting algorithms are important for accurate and real-time forecasts. It is challenging to sometimes predict the volume of voice and non-voice transactions in a day. API-based tools can integrate data from different sources such as web chat, social media, voice, and workforce experience management solutions for an accurate view of the workload, including wait times. The analytics should be able to alert you of potential gaps before the resource shortfall, allowing you to plan your staffing requirements better.  

Conclusion

The hybrid work model has its challenges for the contact centre industry. The ability of agents to walk up to their supervisors or raise their hands when they have an issue has been impacted. While it is important to focus on how agents will perform their jobs remotely, it is equally important to evaluate the overall experience including training, scheduling and forecasting workload. AI and automation, WEM and knowledge solutions can help reduce confusion and ease the workload for the agents. An integrated EX platform that uses a single dashboard will be most beneficial for agents to navigate for information. What is important is to have a new approach to managing EX. This will help your organisation immensely in attracting and retaining talent.

Experience Economy
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Technology-led Transformation of the Banking Industry

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When the FinTech revolution started, traditional banking felt the heat of competition from the ‘new kid on the block’. FinTechs promised (and often delivered) fast turnarounds and personalised services. Banks were forced to look at their operations through the lens of customer experience, constantly re-evaluating risk exposures to compete with FinTechs.

But traditional banks are giving their ‘neo-competitors’ a run for their money. Many have transformed their core banking for operational efficiency. They have also taken lessons from FinTechs and are actively working on their customer engagements. This Ecosystm Snapshot looks at how banks (such as Standard Chartered Bank, ANZ Bank, Westpac, Commonwealth Bank of Australia, Timo, and Welcome Bank) are investing in tech-led transformation and the ways tech vendors (such as IBM, Temenos, Mambu, TCS and Wipro) are empowering them. 

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To download this Ecosystm Bytes as a pdf for easier sharing and to access the hyperlinks, please click here.

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Why Do You Fail to Deliver a Consistent and Memorable Digital Customer Experience? – Part 2

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Consistent customer and brand experiences should be at the heart of every digital strategy. In the first part of this feature, we explored the barriers to creating memorable customer experience (CX). Here we look at what organisations who have mastered the art of great CX have in common.

Best Practices

Through Ecosystm research and interviews with organisations we have found that businesses that are already creating a consistent, effective, and memorable digital customer experience have these traits in common:

Success factors for your digital customer experience

Had CEO and Board-level support for their strategy. Your ability to create a memorable and consistent digital experience lives and dies by the support of your senior management team. Without the CEO telling the rest of the business that this is a priority, the employees simply won’t come along for the ride.

Gained Employee support for the strategy. There is no point in creating a digital customer strategy at the Board and senior management level if it is not consistent with the lived experience of employees. An Australian bank made the mistake of making all their digital experience decisions at the most senior levels without taking the employees on the journey too. Change needs buy-in from all levels of the business – so make sure all levels are heard and that they understand why and how you will change the way they work and deliver customer value.

Made the delivery of a brand-consistent experience into a key KPI. In these businesses, a consistent CX is a given. That doesn’t mean they are not personalising their customer experiences or optimising them for specific touchpoints – it means that collaboration with other teams and channels is a base expectation. Changes are not made without the knowledge of other teams.

Prioritised governance over management. The risk of collaboration and including many people in decisions is that it slows decisions down and impacts business agility. To enable their collaborative approach to digital experience delivery, these businesses have set rules and guardrails into their decision-making processes to ensure they continue to deliver on-brand and consistent experiences. Many also have created cross-channel teams or sewn their digital skills across the different channel teams to ensure consistency of customer experience.

Consolidated on fewer platforms and CX ecosystems. Five years ago, businesses needed to source smaller, more innovative CX software and cloud components just to keep up with customer expectations. The trendsetters had built their own CX capabilities and weren’t relying on the traditional ISVs for their CX innovation. Smaller providers were emerging to fill these gaps for businesses who were not digitally native. Sourcing best-practice solutions is much easier today. Some of those smaller vendors have emerged to create their own platforms and CX ecosystems, and other suppliers have acquired and innovated their own software to meet and exceed customer requirements. For example, you no longer need multiple content management systems or platforms – a single content source can now meet the different needs of your different channel teams and feed consistent content to all customers tailored to their journey stage or chosen touchpoint.

Used data for their customers – not against them. Many personalisation or automation attempts have failed. Not because they used the wrong data, but because they were driving the wrong outcome. They were designed to corner a customer into a decision, versus helping them make the best decision for their circumstance. We all know what that looks like – if an interaction feels “creepy” like they are following you around the web and across touchpoints, or they seem to know too much about you. This is when a business is using data against you to try to force an action. Smart businesses use data to help customers achieve their goals – in the knowledge that happy customers will not only return to the business or brand, but also tell their friends and family about the experience.

Creating a consistent and on-brand digital experience will drive many positive outcomes for your customers and your business. Your customers will know what to expect and be comfortable in their interactions with your brand in whatever channel or touchpoint they desire – with the knowledge that the experience will be consistent and integrated and their time will not be wasted. They’ll return to your business over and over again. The consistent experience will also drive down your costs – with less rework, fewer platforms to support, more automation and hopefully a simpler technology architecture. Done right, it will also create a single unifying digital initiative across the business that will help to break down barriers, improve collaboration, and unlock innovation in and between your business teams.

Customer Experience Insights
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IoT & Edge Transforming Financial Services

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In this Insight, guest author Anupam Verma talks about how a smart combination of technologies such as IoT, edge computing and AI/machine learning can be a game changer for the Financial Services industry. “With the rise in the number of IoT devices and increasing financial access, edge computing will find its place in the sun and complement (and not compete) with cloud computing.”

Anupam Verma, Leadership Team, ICICI Bank

The number of IoT devices have now crossed the population of planet earth. The buzz around the Internet of Things (IoT) refuses to go down and many believe that with 5G rollouts and edge computing, the adoption will rise exponentially in the next 5 years.

The IoT is described as the network of physical objects (“things”) embedded with sensors and software to connect and exchange data with other devices over the internet. Edge computing allows IoT devices to process data near the source of generation and consumption. This could be in the device itself (e.g. sensors), or close to the device in a small data centre. Typically, edge computing is advantageous for mission-critical applications which require near real-time decision making and low latency. Other benefits include improved data security by avoiding the risk of interception of data in transfer channels, less network traffic and lower cost. Edge computing provides an alternative to sending data to a centralised cloud.

In the 5G era, a smart combination of technologies such as IoT, edge computing and AI/machine learning will be a game changer. Multiple uses cases from self-driving vehicles to remote monitoring and maintenance of machinery are being discussed. How do we see IoT and the Edge transforming Financial Services?

Before we go into how these technologies can transforming the industry, let us look at current levels of perception and adoption (Figure 1).

Adoption and Perception of Emerging Technology in Financial Services

There is definitely a need for greater awareness of the capabilities and limitations of these emerging technologies in the Financial Services.

Transformation of Financial Services

The BFSI sector is increasingly moving away from selling a product to creating a seamless customer journey. Financial transactions, whether it is payment, transfer of money, or a loan can be invisible, and Edge computing will augment the customer experience. This cannot be achieved without having real-time data and analytics to create an updated 360-degree profile of the customer at all times. This data could come from multiple IoT devices, channels and partners that can interface and interact with the customer. A lot of use cases around personalisation would not be possible without edge computing. The Edge here would mean faster processing and smoother experience leading to customer delight and a higher trust quotient.

With IoT, customers can bank anywhere anytime using connected devices like wearables (smartwatches, fitness trackers etc). People can access account details, contextual offers at their current location or make payments without even needing a smartphone.

Industries of the Future

Use Cases of IoT & Edge in Financial Services

IT and Digital Leaders in Financial Services are aware of the benefits of IoT and there are some use cases that most of them think will help transform Financial Services (Figure 2).   

Top Use cases of IoT in Financial Services Industry

However, there are many more potential use cases. Here are some use cases whose volume will only grow every day to fuel incessant data generation, consumption and processing at the Edge.

  • Smart Homes. IoT devices like Alexa/Google Home have capabilities to become “bank in a speaker” with edge computing.
  • In-Sync Omnichannels. IoT devices can be synced with other banking channels. A customer may start a transaction on an IoT device and complete it in a branch. Facial recognition can be used to identify the customer after he/she walks in and synced IoT devices will ensure that the transaction is completed without any steps repeated (zero re-work) thereby enhancing customer satisfaction.
  • Virtual Relationship Managers. In a digital branch, the customer may use Virtual Reality (VR) headsets to engage with virtual relationship managers and relevant experts. Gamification using VR can be amazingly effective in the area of financial literacy and financial planning.
  • Home and Auto Purchase. VR may also find use in home and auto purchase processes with financing built into it. The entire customer journey will have a much smoother experience with edge computing.
  • Auto and Health Insurance. Companies can use IoT (device installed in the vehicle) plus edge computing to monitor and improve driving behaviour, eventually rewarding safety with lower premiums. The growth in electric mobility will continue to provide the basis for auto insurance. Companies can use wearables to monitor crucial health parameters and exercising habits. The creation of real-time dynamic rewards around it can change behaviour towards a healthier lifestyle. Awareness, longevity, rising costs and pandemic will only fuel this sector’s growth.
  • Payments. Device to device contactless payment protocol is picking up and IoT and edge computing can create next-gen revolution in payments. Your EV could have an embedded wallet and pay for its parking and toll.
  • Branch/ATM.  IoT sensors and CCTV footage from branches/ATMs can be utilised in real-time to improve branch productivity as well as customer engagement, at the same time enhancing security. It could also help in other situations like low cash levels in ATMs and malfunctions. Sending live video streams for video analytics to the cloud can be expensive. By processing data within the device or on-premises, the Edge can help lower costs and reduce latency.
  • Trading in Securities. Another area where response time matters is algorithmic trading. Edge computing will help to quickly process and analyse a large amount of data streaming real-time from multiple feeds and react appropriately.
  • Trade Finance. Real-time tracking of goods may add a different dimension to the risk, pricing and transparency of supply chains.

Cloud vs Edge

The decision to use cloud or edge will depend on multiple considerations. At the same time, all the data from IoT devices need not go to the cloud for processing and choke network bandwidth. In fact, some of this data need not be stored forever (like video feeds etc). As a result, with the rise in the number of IoT devices and increasing financial access, edge computing will find its place in the sun and complement (and not compete) with cloud computing.

The views and opinions mentioned in the article are personal.

Anupam Verma is part of the Leadership team at ICICI Bank and his responsibilities have included leading the Bank’s strategy in South East Asia to play a significant role in capturing Investment, NRI remittance, and trade flows between SEA and India.

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Why Do You Fail to Deliver a Consistent and Memorable Digital Customer Experience? – Part 1

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More than ever before you are having to cater to digital-savvy customers and create a competitive edge through the customer experience (CX) that you provide. In this two-part feature, I explore the barriers organisations face in their goal to create a memorable CX; and what the organisations that are getting it right have in common.

Spend on digital services, technologies, platforms, and solutions is skyrocketing. As businesses adapt to a new normal, they are increasing their spend on digital strategies and initiatives well beyond the increase they witnessed in 2020 when all customer and employee experiences went digital-only. But many digital and technology professionals I meet or interview maintain that their digital experiences are poor – offering inconsistent and fragmented experiences.

The Barriers

Digital, CX and tech leaders highlight their laundry list of challenges in getting their digital experiences to deliver a desired and on-brand customer experience:

A poorly informed view of the customer and their journey.  Sometimes the customer personas and journey maps are simply wrong – they were developed by people with an agenda or a fixed idea of what problems need solving.

Inconsistent data. Too much, too little, or plain incorrect data means that automation or personalisation initiatives will fail. Poor access to data or lack of data sharing between teams, applications and processes means that businesses cannot even begin to build a consistent CX.

Too many applications and platforms. As digital initiatives took hold, technology teams witnessed an explosion of applications and platforms all conquering small elements of the digital journey. While they might be great at what they do, they sometimes make it impossible to create a simple and consistent customer journey. Some are beyond the control of the technology team – some are even introduced by partners and agencies.

Inconsistent content. For many businesses, content is at the heart of their digital experience and commerce strategy. But too often, that content is poorly planned, managed, and coordinated. Different teams and individuals create content; this content is then inconsistently delivered across customer touchpoints; the content is created for a single channel or touchpoint; and delivers to customers at the wrong stage of the journey.

Little co-ordination across channels. Contact centres, retail or other physical locations and digital teams often don’t sing from the same songbook. Not only is the customer experience inconsistent across different physical and digital touchpoints, but it may even be inconsistent across digital touchpoints – chat, web and mobile offer different experiences – even different parts of the web experience can be inconsistent!

Figure-1-Biggest-Challenges-Organisations-Face-in-Driving-Consistent-CX

Knowledge is not shared between channels. Smart customers will “game” a company – finding the best offer across different customer touchpoints. But more often than not, inconsistent knowledge leads to very poor customer experiences. For example, a telecom provider might give different or conflicting information about their plans across web, mobile, contact centre and retail outlets; and with the increasing popularity of marketplaces, customers receive inconsistent product information when they deal with the brand directly than through the marketplace. Knowledge systems are often created to serve individual channels and are not trusted by customer service or retail representatives. We see this in Ecosystm data – when customer service agents are asked a question, they don’t know the answer to, the first place they look is NOT their Knowledge Management tool.

Poor prioritisation of customer pain points. Customer teams may find that it is easier to tackle the small customer challenges and score easy points – and just deprioritise the bigger ones that will take significant effort and require considerable change. Unifying the customer journey between the contact centre and digital is one big challenge that many businesses continue to delay.

And it gets worse… According to Ecosystm data, 55% of organisations consider getting board and management buy-in as their biggest CX challenge. This means that Chief Digital Officers, CX professionals and digital teams are still spending a disproportionate amount of time selling their vision and strategy to the senior management teams!

But some organisations are getting it right – creating a memorable digital experience that retains their customers and attracts more. I will talk about what is working for them in the next feature. 

Customer Experience Insights
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