Category Archives: Flash Corner

Conversational AI-led analytics is indeed the game-changer for contact centers | Part 3 of 3 | geniSIGHTS

Let’s understand how a conversational AI can help connect the problems to the solutions effectively in real-time. Take an instance where there is a conversation between a customer care executive of a fashion store and a customer that is effectively solved with the help of a conversational AI.

The conversational AI uses sentiment analysis to understand the customers’ state of mind, makes recommendations to the executive for better solutions, and quick recommendations related to the offers of the brands the customer liked or has in their wishlist increases the overall satisfaction of the customer.

This is how conversational AI helps in solving customers’ issues in real-time. Many contact centers are already infusing AI into their operations and help desk tasks. Although AI is not going to eliminate the staff, it is going to aid a huge scale-up of the help desk services.

Are you a contact center organization looking for real-time & customized analytics solutions for your business?

We have a product explicitly designed to cater to your analytical needs. Get in touch with us at info@genisights.com or contact@flash.genisights.com to schedule an appointment today!

You can likewise visit our website https://flash.genisights.com/ to know more about our product.

You would have learned how Advanced Analytics aids the contact centers to enhance the customer experience thereby converting contact centers to revenue centers. Our Conversational AI product FLASH comes in handy providing meaningful insights in just a matter of seconds.

Conversational AI-led analytics is indeed the game-changer for contact centers was a 3 part blog. The part 1 concentrated on the problems faced by the contact centers which was followed by the solutions conversational AI could offer in part 2 and how the conversational AI solved the problems in real-time in part 3 of the blog.

Conversational AI-led analytics is indeed the game-changer for contact centers | Part 2 of 3 | geniSIGHTS

BPO – Analytics: A prerequisite for operational efficiency:

The contact center has extensive information about customers, their behavioral and non-behavioral data, product experience, and the interactions with the frontline staff. With appropriate analytics, the information could be modeled to predict very useful characteristics to promote the product, up-sell/cross-sell, predict the intent of the customer call, etc. 

BPO sector sets forth the following expectations which can be achieved through Advanced Analytics:

  • The historical and current data needs to be analyzed to uncover the masked opportunities for the strengthening of the organization. 
  • The potential customers have to be identified, segmented, and targeted for the marketing campaign.
  • The unstructured data from the customer complaints have to be extracted and analyzed further to enhance customer service strategies.
  • The data from social media requires to be mined to determine emotions and opinions about brands, products, and services. 
  • The customers who are likely to cease the service from the business need to be predicted.
  • The intent of the customer has to be predicted to give what exactly the customer wants before they ask for it.
  • There is a need for prediction of the future using extensive evaluation of the past performance
  • Recurrent issues of a product should be categorized for future enhancements.
  • The best products to be recommended to customers are to be predicted so that they can easily find their desired product.
  • The total value a customer can bring to a company throughout their lifetime is to be measured.

Analytical Solutions for Contact Centers:

geniSIGHTS understands the pressing needs of Business Process Outsourcing companies and has come up with a handful of analytical solutions. These intelligence solutions yield valuable insights to organizations ensuring the highest level of customer satisfaction.

Some of the analytical solutions offered are:

Uplift Modelling

The Uplift Modelling ensures that the customers who have higher propensity scores are rightly identified and targeted for the marketing campaigns. The customers are segmented into four categories based on their behavior after being encountered with a marketing action.

  1. Sure Things – Customers who would have responded whether they were targeted or not.
  2. Lost Causes – Customers who will not respond irrespective of whether or not they are Targeted.
  3. Sleeping dogs – Customers who are less likely to respond because they were targeted.
  4. Persuadables – Customers who only respond to the marketing action because they were Targeted.

Cross-sell/Upsell recommendation

The cross-sell recommendation suggests the customers for the complementary product when they purchase a new product. The upsell recommendation shows up the customers with a better version of the product that they plan to buy. This system uses affinity analysis/association rules mining to analyze the co-occurrence of relationships among activities performed by customers and discover the cross-sell/up-sell opportunities accordingly. 

Recommendations Systems

The recommendation system exceptionally helps the business to predict the most likely product that the customer will buy. This system can therefore provide more personalized offers for the items of the customer’s interest.

Predicting customer churn rate

Customer Churn analysis predicts the customers who are likely to cancel their subscription from the company. The analysis also helps to understand why the customers are leaving and the possible ways to reduce the churn.

Sentiment mining

Sentiment mining extracts the necessary information from social media to understand what people think about a product or how they look up to a brand. The emotional tone behind each mention in social media can be derived from this analysis.

Customer Effort Analysis

The customer effort analysis brings out the amount of effort a customer puts in getting his issues resolved through various touchpoints.

These are some of the advanced analytical solutions that the conversational AI could offer for the problems faced by contact centers. Wait for edition 3 to find out how Conversational AI resolves all the problems of contact centers in real-time.

Are you a contact center organization looking for real-time & customized analytics solutions for your business?

We have a product explicitly designed to cater to your analytical needs. Get in touch with us at info@genisights.com or contact@flash.genisights.com to schedule an appointment today!

You can likewise visit our website https://flash.genisights.com/ to know more about our product.

Learn how Advanced Analytics aids the contact centers to enhance the customer experience thereby converting contact centers to revenue centers. Our Conversational AI product FLASH comes handy providing meaningful insights in just a matter of seconds.

Conversational AI-led analytics is indeed the game-changer for contact centers is a 3 part blog. Part 1 concentrated on the problems faced by the contact centers which is now followed by the solutions conversational AI could offer in part 2 and how the conversational AI solves the problems in real-time will be in part 3 of the blog.

Conversational AI-led analytics is indeed the game-changer for contact centers | Part 1 of 3 | geniSIGHTS

How Conversational AI assists Contact Centers?

Advanced Analytics assists Contact centers to hasten the decision making with real-time insights. It extends tremendous support for the Business Process Outsourcing Companies in improving their Key Performance Indicators thereby enhancing customer satisfaction.

In the competitive industry, building trust over a brand is inevitable. The companies are increasingly investing in service centers to improve the key determinants like customer acquisition, customer retention, and customer margin. The contact centers are continuously evolving at a fast pace to meet the customer’s demand anytime. They serve as a bridge between the brand and the customers. Establishing a strong customer base is vital for every business and the contact center does this job effectively.

Frontline staff at the war front:

The frontline staff is the first point of contact for the customers with the company. They are also responsible for retaining a business reputation. The expectations of the customers are tremendously increasing over time and the frontline staff needs to be well equipped to satisfy the customer’s needs. Also in the fast-paced environment, everyone expects things to get done fast.

The Frontline staff are upskilled on the product completely to deal with the most difficult customers. But due to high attrition in the service center sectors, the new staff are not well educated on the product leading to the frustration of the customers.

There is a pressing need in the industry to implement a software solution that behaves like more of a data assistant to these frontline employees. The conversational AI ensures that the customer receives a more personalized and quick response. When the frontline staff is faced with similar kinds of requests from the customers, the conversational AI connects to the data in the past and provides the relevant suggestions to the staff. The resolution time of the queries will greatly be improved which in turn provides positive customer feedback.

Major Concerns of a Contact Center:

High Attrition Rate:

High Attrition Rate is an alarming concern of the contact center industry that has to be addressed. Every customer expects instant resolution for their real-time queries. The front-line staff should be well equipped and trained with accurate solutions to avoid potential customer’s turn-off. Oftentimes, the new service staff is unaware of the past queries and how the organization resolved them previously. The attrition rate necessitates the contact center company to hire and train the new staff which imbibes huge costs.

First-call resolution (FCR):

First-call resolution (FCR) is widely regarded as an important facet for achieving customer satisfaction in the Contact Centre. However, as today’s customers tend to ring with increasingly complex queries, it isn’t always possible to provide an immediate answer. If callers end up having to speak to several agents regarding a single inquiry, the customer experience becomes inefficient and satisfaction levels plummet. 

Repeated Calls:

A recent survey reveals that 20 to 30 percent of a Contact Centre’s call volume is callbacks from previous, unresolved issues. In another survey, it was found that 70% of UK customers speak to an average of two to five customer service representatives before resolving a single issue which has reflected the preference of consumers across the UK from Contact Centres to various other channels like email, chat, or use social media or mobile apps and a host of other sources to drop a line.

Lack of Information:

The customers contact the service centers for information. When the service agent is unequipped with the solution, they put the customers on hold. The customer gets aggravated and frustrated when they have to wait for long. The waiting time is the biggest turn-off for a customer seeking help on an issue.

Customer drop-out:

Many of the contact centers have been using Interactive Voice Recording Systems to reduce the number of calls reaching an actual agent. This helps reduce the cost of the customer care service of a company but also has its downsides. Some say the voice prompts are difficult to understand and give too much data in too short a time (Misrouted analysis). Also, most of the time, customers dislike talking to a machine and request to be transferred to an agent thereby increasing the customer drop out rate. 

These problems faced by contact centers can be effectively resolved by Conversational AI-led analytics. Stay tuned to find out how Conversational AI could resolve the contact center’s problems in our 2nd edition of ‘Conversational AI-led analytics is indeed the game-changer for contact centers.’
If you are looking for a tool that will resolve all of these issues efficiently, we have an amazing tool “FLASH” available to you. Contact Team FLASH at info@genisights.com or visit the website https://flash.genisights.com/ to know more about its capabilities and benefits. You can also schedule a demo now with the Team FLASH to discuss the details of your requirements.

Learn how Advanced Analytics aids the contact centers to enhance the customer experience thereby converting contact centers to revenue centers. Our Conversational AI product FLASH comes handy providing meaningful insights in just a matter of seconds.

Conversational AI-led analytics is indeed the game-changer for contact centers will be a 3 part blog. The first part concentrating on the problems faced by the contact centers followed by the solutions conversational AI could offer in part 2 and how the conversational AI solves the problems in real-time in part 3 of the blog.

Analytics Adoption: ‘Precanned insights’ vs ‘Real-time insights’

Organizations have lots of data, reports, and insightful dashboards but are they actionable? How easy for the organization to leverage insights from Dashboards?

Max is disappointed with the insights provided by Julie. Alex said he will talk to the Dashview team to build the reports quickly.

The Dashview needs 2 more days to build the reports.

Alex volunteers to fix the meeting with the FLASH team the next day.

Team FLASH demonstrated FLASH to Max and his team. Max was stunned to see that FLASH not only generated the insights quickly but the insights are real-time insights.

FLASH can power your decision making as well. What are you waiting for? Contact the FLASH team @ info@genisights.com or visit the website https://flash.genisights.com/

Conversational AI-powered business intelligence suite -FAST Launch Event

geniSIGHTS is proud to announce the launch of FAST(FLASH As Service Tuned)! FAST is an artificial intelligence-powered business intelligence suite designed to help small and medium enterprises perform data analytics through voice-powered dynamic query solving.  The tool is an effort from geniSIGHTS to make analytics accessible to entrepreneurs even with a tight budget.

FAST was launched as a virtual event by Lakshmi Narayanan, Emeritus Vice-Chairman, and former CEO of Cognizant. In his address, he pointed out the importance of ease of use and seamless software installation for the rising demand for data-driven tools. Impressed by the new benchmarks established in analytics platforms and the delivery of insights through BI tools with voice commands, he stressed on the user’s demand for independent setup without involvement from support teams which FLASH aims to provide for modern technology-driven organizations.

Check out our feature on TOI:
https://timesofindia.indiatimes.com/business/india-business/genisights-startup-launches-ai-powered-business-intelligence-suite-for-small-businesses/articleshow/77238910.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst
Check out our feature on UNI:
http://www.uniindia.com/~/covid-19-ai-powered-business-intelligence-suite-launched-for-smes/States/news/2099769.html

FAST is a focused solution on SMBs that comes as ‘A Do It Yourself kit’ from the FLASH team to jumpstart world-class AI experience in 30 seconds. At this lightning-fast set-up time, the conversational tool FAST provides customizations at the hands of the decision-maker on KPIs, Charts, etc. FAST renders actionable insights and views to the business user. The AI also suggests the type of charts and what level of detail is required for the business user. The users then can further upgrade/downgrade the features according to the AI learnings for the program to tune into the user’s choice. Now that’s the truly world-class platform genISIGHTS has built for small businesses.

FAST gives leaders the ability to analyze business performance with advanced AI capabilities especially during these testing times with the COVID-19 pandemic causing economic and global distress. The setup is seamlessly designed to avoid the need for any external support. It not only visualizes your data but can also render real-time actionable insights from your data with AI-based algorithms. For businesses that need to adopt data-driven strategies in uncertain times, we created FAST as a solution that is the need of the hour.

FAST is built on the geniSIGHTS flagship product ‘FLASH’ which was launched two years ago as an enterprise model and has served many large organizations in the US and India. FAST is a subscription model improved from FLASH, utilizing its advanced analytics algorithms and machine learning ability and simplifying the process of installation. Lalit Kumar, who is among the first users of our product, and heads the statistics department within the quality function in Renault Nissan Technology and Business center India addressed everyone in the launch, communicating how FAST has helped his organization handle data from different sources. It streamlined the data into a dashboard with actionable insights for the management, available at a quick glance.

We were glad to have with us Pat Krishnan, an entrepreneur, and visionary from the Bay Area, with a proven track record of creating value through innovative ideas. He has been a significant part of our journey as a customer, an advisor, and now an active partner for our business expansion for FLASH in the US. Pat in his address appreciated the contribution of the geniSIGHTS team, who helped him conceptualize disruptive business strategies by the use of advanced data analytics. He also shared his strong belief in conversational AI and its contribution to enhancing the customer experience.

Our power team was represented by our Founder and CEO Rajesh Kumar, Co-founder and CAO, Parvathy Sarath, and our Marketing Head, Srividhya M. Rajesh, who was delighted with the amazing response to the launch invite, said that FAST has come at a time when the COVID-19 pandemic has impacted businesses significantly. The thought behind the product was to assist organizations that are looking to save operational costs and use agile insights to drive business decisions. Parvathy, who is the brain behind the success of the project, in her crisp demonstration showed how FAST can be set up in minutes and guide businesses with actionable insights powered by advanced analytics.

FAST features:

  • Cloud-based subscription model

  • 30 seconds setup with no additional support required

  • Custom KPIs and metrics

  • Conversational AI for insights at the speed-of-your-thought

  • AI-based actionable insights to adapt to your business

  • Impressive visualization techniques to understand your data

FAST is an AI-driven conversational BI suite designed to make advanced analytics accessible to small and medium enterprises at an affordable price. A dashboard that brings to you analytics at the speed-of-your-thought!

If you missed the web-launch you can click here

Contact us at info@genisights.com or log on to https://flash.genisights.com/ and request a demo today!







7 questions Contact Centre Data Analysis can answer

 Industry Watch Corner

The lack of access to physical stores due to the pandemic has increased the traffic for contact centres worldwide. Contact centres are bridging the gap to communicate with customers, emergency helplines, on-call services, and inquiries. Even before contact centre agents were required to work from remote locations, Cisco’s 2020 survey revealed that 62% of decision-makers plan to implement a cloud contact centre in the coming year. 93% agree that technology is very important in creating a better customer experience. Contact centres are a treasure of data waiting to be discovered. They have data acquired through daily processes like telesales, telemarketing, customer surveys, collections by means of outbound services and customer services, emergency response past inbound services. Analyzing contact centre data can help not only the customers but the contact centre decision-makers as well, to improve service and increase efficiency. Artificial Intelligence-based software improves the customer experience by monitoring key phrases and then prompting the agent in giving proactive responses. They can identify challenging calls for agents to handle and route the calls depending on complexity. AI is also gaining popularity through chatbots and solving issues without the need for agent interference. Chatbots need to understand the tone of the customer and respond accordingly. A healthy Contact Centre must conserve excellent hardware and software solutions providing a direct impact on quality assurance/success metrics, call statistics, customer implementation, and proficient Contact Centre agents. Contact centres today can answer more than just calls. Let us look at what other questions can be unraveled through analyzing contact centre data.

1. Is the Customer Satisfied?

According to a 2019 survey by Deloitte Digital, Customer experience or CX is a high priority (57%) among the surveyed centers. Harvard Business Review found in a study that a focus on increasing (Customer Satisfaction) CSAT will help businesses retain 74% of customers for another year leading to a substantial increase in revenue. We can increase customer lifetime value by looking after the key determinants like customer acquisition, customer retention, and customer margin. IVR (Interactive Voice Recording) Systems have been in use recently to reduce the number of calls reaching an actual agent. Valuable insights on the reason for the call, the caller, Opt-out Rate, self-Services rates, and incorrect routes can be evaluated through IVR data.

Representative customer satisfaction metrics from FLASH, the analytical dashboard

Representative customer satisfaction metrics from FLASH, the analytical dashboard

2. Is your Product facing a regular or common problem?

Collating and categorizing issues is a great way to understand the product. A repeated complaint of the product needs to be fixed for future versions so that customers do not engage in expressing distress and reducing brand value. Categorizing these issues also helps in creating a common answer pool for contact centre employees. AI can be used to direct the calls to Subject Matter Experts to handle issues. This will reduce escalations and help employees with better ways to tackle problems. We can also perform sentiment mining to analyze the sentiment of the customers on service level parameters such as resolution effectiveness, feature variety, etc. by leveraging social media sentiments of the public on various products or services of clients for improved business services.

3. Is your Contact Centre Efficient?

First call resolution (FCR) is an important metric that measures the efficiency of the contact centre to solve issues in the first call. A long waiting time is another factor for low customer satisfaction. Measuring the average delay of calls or the call abandon rate or the response time will give us an idea about the need for more staffing to handle the surge in calls. Response time metrics and call resolution metrics are indicators of efficiency(image below depicts metrics from an AI-driven dashboard, FLASH). Customer Effort Analysis can be performed to measure the efforts spent by customers to get various services rendered through various touchpoints. Customer journey analysis can be used to identify the pain points that customers face while traversing channels for a specific purpose. Path analysis can help identify the patterns in the menu/caller path in a time slot. All metric dimensions can then be evaluated to arrive at actionable insights about the customer segment in qualifying dominant paths, dependent paths, and average time spent on the path, etc.

Flash insights

Flash analytics

Flash dashboard

 

4. Is your Employee productive?

Average Sales per Agent is the measure of sales that an agent closes within a time period. We can use this metric to award agents performing well and provide targets for employees to work towards. An agent’s Utilization and Average Handle Time are two primary contact centre metrics to focus on when trying to measure an agent’s productivity. We must also be careful of the escalations that an agent faces and train employees who need to improve performance.

Flash AI board

5. How many Customers at risk of attrition?

According to contactcenterpipeline.com, Attrition is considered the No. 1 challenge 27% (up from 19.2%) for contact centres in 2020. Measuring the Net Promoter Score or NPS of customers helps us to plan a better approach for managing customers who are at risk of attrition. Predicting churn rate qualifies the steady-state level of customers at any point in the network.

6. Are there any opportunities for Upsell and cross-sell?

Affinity analysis/association rules of mining are used to analyze the co-occurrence of relationships among activities performed by customers and discover the cross-sell/up-sell opportunities accordingly. Recommendation Systems help identify products customers need and help contact centres create personalized offers based on purchase history and products commonly bought together. Use of Uplift Modelling can be used to identify the right set of customers(the persuadable) to be targeted for marketing campaigns.

7. Can your competitor be a reason for low sales?

As contact centres are a hub of engagement, customers often give honest feedback on products. You also find that many potential clients are already using your competitor products. Employee engagement plays an important role in analyzing these potential risks to the business. Predicting the customer churn rate helps to identify the customers who are likely to leave the network.

Contact Centres are now moving into a space of self-service where customers are adapting to emerging artificial intelligence software and chatbots. Customers today do not like waiting for calls to be answered, they would rather finish queries through chatbots that do not consume time. IVR systems are slowly being replaced by intelligent assistants that provide human-like interactions. Having an advanced chatbot and analyzing its response can help you understand your customers. With these forms of service, direct calling and email, data is being collected from multiple sources. Decision-makers need regular reports to keep track of their performance. While automating this data is now a necessity, the use of AI to analyze this data is a competitive advantage. AI-based dashboards give you the insights needed to understand your data. They highlight possible improvements and forecast staffing depending on query traffic. They group dissatisfaction and anger sentiments and analyze agents who deal better with these emotions. Customer sentiments change with time, people are more impatient and now more sensitive due to long hours indoors. Many factors can be associated with good or bad performance and identifying these factors can be tricky for decision-makers. AI learning, analyses your data in real-time and helps you get a holistic view of your business. Analyzing and processing this data turns your contact center into an answering hub. Companies that ignore customer service face an inevitable fate of resentment and destroyed brand image. FLASH, a product by geniSIGHTS ensures your contact centre does more than just calls. FLASH is a one of a kind voice-powered AI tool that gives your contact centre the power to stay ahead of the competition and give highly efficient results. Our solution uses advanced analytical techniques through various statistical models and machine learning algorithms to qualify underlying patterns and mine hidden insights from data. It is lightweight and cloud-based, facilitating analysis at your fingertips even as you sit at home during this lockdown. Contact us at https://flash.genisights.com/ for a demo today.







Effective Decision Making

  FLASH CORNER

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The BI Survey research found that 58% of the surveyed companies relied more than half of their decisions on gut feel or experience over data. But two-thirds believe that information will be valued for decision making in the future. Highly data-driven organizations are 3X more likely to report significant improvement in decision-making, according to a survey by PWC.

The HiPPO effect, coined by Avinash Kaushik and reiterated by Bernard Marr in Forbes, is usually the most experienced, most powerful, or highest paid in the room. Once they voice their opinion, others find it disrespectful to voice their own. This may not lead to desired results. Let’s think if the decision would go on a similar path if the time and resources would be different. Given more time, you would probably rely on the opinion of a board of directors or your experienced colleagues. Will you still be completely confident?

   Data however changes this. You have an unbiased opinion based on facts that leads to better results. Data analytics uses information from all sources and simplifies it to visual representations that highlight what you need. You are now capable of viewing all your information in just one screen. But data is useless until interpreted. Data-driven decision making or DDMM lies in interpreting this data for actionable insights. A term fondly called as data storytelling is considered an art. Artificial intelligence-based complex algorithms make sure to see more than what the human eye and mind are capable of. These insights help drive your decisions in directions that lead to success. So you have got your data, got your insights from this data, why then have you not used it to make the decision given to you 10 minutes ago?

The problem with many AI solutions is the inability to get exactly what you want when you want. You have a ton of data and a ton of insights but how does your BI tool know what you need to reach the answer for the question given to you 10 minutes ago. You have knocked on the door of data analytics and are seeking the solution. But can’t you just ask?

FLASH, by geniSIGHTS, gives you the power to simply talk to your BI tool and seek the information you need to come to the decisions that will open the right doors. In turn, FLASH also talks back to you with insights. FLASH is a one of a kind voice-powered dashboard that provides quick insights into your organization’s metrics. It goes beyond the functionality of Business Intelligence and uses conversational AI in the dashboard to respond to queries and generates real-time insights for actionable decision-making.

FLASH is AI-driven, lightweight, and easy to use.  It can easily be integrated with your existing data systems without having any extra software. It is also accessible from any location and insights can be exported and shared with the members of your organization. The visualization can be customizable and easily understood without any expert knowledge of data. FLASH ensures that your entire team is on the same page, making your user experience smooth and without any delay. Unlike other solutions, FLASH learns continuously to understand what you need for your business and becomes your virtual data assistant over a period of time.

FLASH is your AI agent who has all the answers you need to make decisions in a FLASH. We have seen how Amazon’s Alexa has made life easier. Shouldn’t your dashboard be able to do that? Now you can make your decisions within 10 minutes and be sure of it.

FLASH gets you what you need, you simply need to ask it. Check out FLASH at https://flash.genisights.com/