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Brand Intelligence Suite 2.0

A positive brand reputation facilitates loyalty and boosts customer confidence in your products and services.

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Customer Intelligence Suite 3.0

Research shows that companies that utilize a comprehensive approach for integrating customer analytics. Сompanies that integrating comprehensive customer analytics strategy enjoy an almost 10X greater increase.

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Advanced Analytics Suite 3.0

Research shows that almost 80% of vital business information is stored in unmanaged repositories.

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CIS 5 Integrations

CIS 5 now allows you to respond to feedbacks from Google Play and the App Store.

About →

You now can use fewer services to provide customer feedback resolution, because CIS 5 now collects feedbacks from mobile app stores such as Google Play and the App Store. You no longer need to resort to using the dashboard of these resources to respond to customer reviews, as you can do so with CIS 5.

ChatGPT

Customer service and support is the fundamental goal of any customer-centric business. The implementation of a language model based on artificial intelligence will help raise the quality of service to a new level.

Overview →

ChatGPT was released in 2022 by AI research company OpenAI. It is an AI that participates in dialogue. It is similar to the automated bots you find on customer service sites, but it is much more complex.

ChatGPT can help operators provide timely answers to customer questions, provide product recommendations, and even process transactions using scripts it has been trained on.

The main goal of combining ChatGPT capabilities with AZN Customer Intelligence Suite (CIS) and Digital Onboarding Portal (DOP) solutions is to take the quality of customer support to a new level. The integration is designed to help support operators respond to customer requests more quickly. ChatGPT features enable operators to better leverage AI in their operations and provide more detailed and consistent responses to customers. With GPT, customer support can summarize conversation data, paraphrase, and auto-populate responses.

ChatGPT in action →

ChatGPT can be used in different ways in a variety of areas. It is mainly used for entertainment purposes: to conduct dialogues with AI, write texts, or edit/create images. It is quick to learn and can interact with a conversational tone - all of which will be useful in customer service.

While ChatGPT won't completely replace the need for customer service agents, it has many benefits. Functions of generative AI in this area:

Sentiment analysis
Personalized response
Quick responses to customer complaints and requests
Responses to customer reviews
Suggesting answers
Answers to frequently asked questions
Performance monitoring and improvement

Brand Intelligence Suite 2.0

Live test now
Presentation

Visit our Twitter page @ResearchAZN and tweet #aznBISgo to engage our AI-powered Brand Defender (Refresh your page in 12 min to view response)

Your brand is the heart and soul of your business. A positive brand reputation facilitates loyalty and boosts customer confidence in your products and services, ultimately driving sales and bottom-line growth. Any negative impact to the brand reputation can lead to PR nightmare and loss of revenue.

Defend your Brand →

AZN Brand Intelligence Suite (BIS) 2.0 utilizes the latest advances in Artificial Intelligence and Machine Learning neural networks to evaluate and monitor your brand performance across social media and omnichannels which impact your brand reputation.

BIS 2.0 allows business to react instantaneously to brand negative impact. Our solution will automatically notify your marketing and support teams about negative social media engagements which damage your brand reputation.

It will keep track of when someone posts something negative about your brand on Twitter, Facebook, Instagram, YouTube and other SM channels. BIS will check if the sentiment is negative with our Cognitive Services Text Analytics engine, and if it is, it will translate the post into English (if required), and then send a push notification to your iOS or Android device with the translated text and a link to the Twitter post or email designated team for immediate mediation.

"Our solution effectively minimizes negative impact on your brand from social media channels, your corporate website and omnichannel. "

Our autonomous AI powered solution monitors your social media channels for adverse/negative sentiment. It reacts with mediation by executing predetermined logic routines negating any need for human intervention.

Brand Intelligence Suite 2.0 monitors your brand on:

Twitter
Facebook
Instagram
YouTube
Yammer
Stack Channel
Blogger

Verge
RSS feeds
AZN Feedback module
Contact /Comments web forms
Mobile apps *
Major news channels for mentioning of your brand, product, service or staff member

"Brand defense is not another chore to be governed only by your employees. With the speed and volume of digital info channels a “human only” approach can no longer effectively manage this task. You need AI power and cognitive services capabilities to monitor and defend your brand reputation."

Brand Intelligence Suite 2.0 in action →

We can automate <-> your tasks 24/7 →

Power up your brand defense with Business intelligence and AI Cognitive service. Harvest selected hashtags and keywords and their sentiments from your social media channels and content platforms. Engage BI and AI cognitive services to monitor and analyze brand health. Utilize our predictive logic to evaluate future trends. Mitigate negative impact on your brand with AI-powered automated brand reputation defense.

Automatically respond to selected keywords, phrases and hashtags with automated replies
Automatically respond to posts from selected users with automated replies
Alert designated staff members via email or mobile push notifications on posts with keywords, phrases and hashtags
Disseminate your preapproved message (content) to designated social media channels on detection of designated keywords, phrases and hashtags
Alert designated staff members via email or mobile push notifications on negative sentiment formation in SM channels
Send out email broadcast to designated list on detection of designated keywords, phrases and hashtags
Cross post new items on an RSS feed to Blogger
Email designated staff Instagram photos with designated keywords, phrases and hashtags
Send an email broadcast or send out a pre-approved press release on specified keyword and hashtag detection
An approval process around which tweets to send out in your business when a post with monitored keyword or hashtag are posted on social media channels
Integrate with leading CRM solutions
…and more

It's important to note that brand attacks can happen anywhere, at any time, and by anyone, including disgruntled customers, competing companies, and even employees. Brand attacks may include:

A disgruntled employee blogging about their grievances.
A third-party posting a negative review of a product or service on SM.
A company's executive team behaving poorly in public which results in SM blowback.
A change in product packaging which generates negative customer feedback.
An unethical competitor that spreads incorrect information about a company.

"Ability to effectively mediate brand negative impact is the key to your Brand reputation."

Customer Intelligence Suite 3.0

Live test now
Factsheet PDF

Research shows that companies that utilize a comprehensive approach for integrating customer analytics strategy into their business model enjoy an almost 10X greater year-over-year increase in annual company revenue.

Overview →

AZN Customer Intelligence Suite (CIS) 3.0 utilizes the latest advances in Artificial Intelligence and Machine Learning neural networks to gather, evaluate and monitor your Voice of the Customer (VoC) across social media and all omnichannel customer touch-points safeguarding your brand’s reputation.

Businesses are challenged daily to continuously improve margins, maintain customer loyalty and remain competitive. The customer experience is considered as the last battleground in brand perception by customers.

"One escalated customer complaint equals 50 unhappy customers and 1,375 negative word-of mouth cases. The impact easily transcends to revenue loss."

It is safe to assume that your company already engages some type of solution to measure your customers' sentiment toward your brand, products, and services. Some of the best-known tools to gain customer insight are; Feedback forms, NPS, Online and email surveys, SM channels, online contact, and comment forms. All these and other tools assist the business to ascertain Voice of Customer (VoC).

VoC is best described as the in-depth process of capturing customer's expectations, preferences and aversions. It focuses on customer needs, expectations, understandings, and product improvement

Our solution effectively minimizes the negative impact on your brand by enabling your business to rapidly react to any negative sentiment detected by our Customer Intelligent Suite 3.0

One of the biggest challenges that business face today is a multiplicity in customer journey touch points. This factor becomes even more important for well-diversified companies who deliver their content via multiple platforms (websites and mobile apps) in different languages, employing multiple Omni channels to engage their customers, spread their operations across countries and continents. Since different KPIs need to be measured depending on the touch point used by your clients, CIS 3.0 can run multiple programs at a time, allowing you to measure different KPIs based on the channel used by the client. This diversity in customer touch points and a vast amount of various sampling to gauge customer sentiment create an enormous amount of data. This is called big data and it requires AI powered solution to assist business to make right decisions at the right time.

Customer Intelligence Suite 3.0 in action →

Our autonomous AI-powered solution monitors data from all sources across your entire enterprise for adverse/negative sentiment. Neural networks and intelligent metrics algorithms identify weaknesses in customer sentiment at their formation which allows business for rapid mediation. We apply neural networks for time series predictions and anomaly detection in data. Predictive logic provides information for future trend formation for your business key metrics.

CIS 3.0 monitors your social media channels for adverse/negative customer sentiment. It reacts with mediation by executing predetermined logic routines negating any need for human intervention.

Omni channels Product(s)/Service(s) satisfaction
Customer support effort
Live chat performance
AI-powered bots performance
Logistics
In-person customer engagement
Digital Marketing
Social Media channels
Run sentiment analysis on tweets and engage AI predictive logic to monitor key factors
Net Promoter Score (NPS) - mange detractors in real time. Set performance benchmarks and engage real-time predictive forecasts
Monitor all your customer feedback and comments on your corporate website and omnichannel

Customer Intelligence Suite 3.0 offers an open API which enables us to integrate it into any business system.
For a complete list of CIS functionality, please contact us to set up a call.

We can automate <-> your tasks 24/7 →

An approval process around which tweets to send out in your business when a post with monitored keyword or hashtag are posted on social media channels
Receive notifications on your phone or email when Brand negative sentiment begins to form based on AI predictive logic analysis
Live dynamic Brand metrics review performance over time and evaluate AI predicted trends for specific keywords and hashtags (review sentiment analysis for your “customer service” effort)
Send an email broadcast or release a pre-approved press release on specified keyword and hashtag detection
Instantaneously reply to posts with negative comments from your support team with assurance on speedy mediation
Integrate with leading CRM solutions

Advanced Analytics Suite 3.0

Research shows that almost 80% of vital business information is stored in unmanaged repositories. Companies that embrace big data analytics will create new opportunities for revenue streams.

Overview →

AZN Advanced Analytics Suite (AAS) 3.0 utilizes the latest advances in Artificial Intelligence and Machine Learning neural networks to analize and manage your big data across your entire enterprise. It aims to elevate customers satisfaction, improve brand reputation, engage new niche markets for their products and services.

Data analytics is overturning the way we do business with increased pace. AAS 3.0 will help you become a forward-thinking company and gain a competitive advantage in the marketplace. If your competitors aren’t taking advantage of big data technology, should you? If you’re left behind this new disruptive technology, there is a strong chance that your competitors have their sights on this innovative business model.

AAS 3.0 aims at creating a blueprint and executing plan to transform your company into data-centric business. This strategy will fortify your core competitiveness, and it’s worth its weight in gold.

"Over 90% of companies consider big data and analytics a strategic priority, yet Bain says only 19% of companies are mining high-quality consistent data! "

One of the biggest misconceptions of integrating data analytics into existing business models is the cost factor. Yes, it can be expensive, but the cost of the solution largely depends of integration path (level of integration) and volume of data to be analyzed. However, it doesn’t mean it is cost prohibitive for SME business. In fact, this is where data analytics presents the biggest competitive edge. Due to more focused scope of business and lighter IT infrastructure, SME business can cost-electively facilitate data analytics adoption into their business model.

AAS’s cognitive services can utilize qualitative and quantitative information derived from data analytics to build a far more holistic consumer base, adapt your content/product/services presentation based on visitation metrics, thus facilitating a lot more comprehensive and targeted product placement, advertising, and messaging.

The key takeaway point from AAS 3.0 adoption into existing business model is; there is no industry that data analytics can’t benefit.

Big data analytics helps enterprises embrace their data and use it to discover new opportunities and extract information from your data to enhance products, more efficient operations, higher profits and satisfied customers.

Data analytics in action →

Below are examples of some advantages presented by adoption of big data analytics to various sectors;

Telecommunications
Telecomm service providers use data analytics to analyze and process thousands of documents, images, manuals, customer data and reports in minutes to help their customer service team resolve customer queries more efficiently. They can save a significant amount of time & money when it comes to resolving customer issues over the call.

Retail
Customer service has changed dramatically in past few years as shoppers are expecting retailers to understand what exactly they need and when they need. Retailers are using big data analytics to meet customer demands. With an ocean of customer data from loyalty programs, e-commerce sites, buying habits and all, retailers use predictive analytics to predict trends, future demands and business strategies to boost profitability.

Healthcare
Healthcare industry is one of the most used analytics industry. Healthcare service providers are using data analytics to extract key insights from unstructured patient medical history. The patterns and other information captured from the data help doctors identify patients for chronic disease & other diseases, to offer timely treatment & reduce risk

Manufacturing
Manufacturing companies use data analytics to fine-tune production in order to avoid inventory overruns and balance demand-supply ratio. With the use of predictive analytics, manufacturers are creating personalized products to match customer expectation and lower inventory and warehouse expenses.

Finance
Banking & Investment industry has multiple challenges in the form of securities fraud warning, tick analytics, card fraud detection, audit trail archival, credit risk reporting, trade visibility etc. With the use of data analytics, banks and other financial institutions are monitoring financial market effectively. Trade analytics is being used by many top banks & financial institutes for high-frequency trading.

There are plenty of other industries like communications, energy, technology, government, fashion, entertainment are using data analytics in order to get the best out of their business & customer data

AAS 3.0 open API architecture provides an easy and cost-effective path for AI-powered data analytics.

Some of AAS 3.0 successful integrations →

Behavioral Anti-fraud solution for your website
KYC/AML/CFT compliance solution
Credit & Loan risk assessment solution
Algo trading

Digital Onboarding Portal 2.0

Presentation

Historically, financial institutions have not been overly concerned with customer turnover. With competition from smarter start-ups, digital banks, rising customer turnover, the burden of legacy systems, and dwindling revenues, the focus now is more on bringing – and keeping – customers onboard.

From application to activation in under 10 minutes→

AZN Digital Onboarding Portal 2.0 (DOP) utilizes the latest advances in Artificial Intelligence and Machine Learning neural networks to create an innovative solution for digital onboarding process.

DOP 2.0 allows financial institutions to offer their clients agile, secure and KYC, AML, CFT compliant process for opening new bank accounts. The main advantage is derived from integration of AI cognitive services which facilitate a complete automation of the client onboarding process, thus negating necessity for human application review. This step alone provides a competitive edge which increases revenue and strengthens brand reputation. Open API platform allows integration across omnichannel banking.

Account Opening Process (AOP) is paramount to financial institutions since it facilitates revenue stream from new accounts opened online. The value of newly funded account to the bank varies from $200 - $600. Our practice shows that banks which provide streamlined and easy to complete online account opening functionality fare much better in securing their market share in the fastest growing digital market place. In fact, overall performance of AOP often becomes a deciding factor for the clients when choosing their bank.

"A staggering $26 billion in fines has been imposed on financial institutions for non-compliance with Anti-Money Laundering (AML), Know Your Customer (KYC) and sanctions regulations in the last decade."

Solution creates a digital transformation road map for achieving a user-centric onboarding process for a seamless customer experience. Real-time monitoring of all key integrations components alleviates pressure often associated with dependency on IT infrastructure performance. Automated system improves customer experience and propel revenue growth.

Solution success factors:

Consistent omnichannel experience.
All customer journey touch points real-time monitoring.
Antifraud Suite 1.0 - AI-powered behavioral anti-fraud engine.
Automated real-time ID document validation.
Core-banking system integration.
KYC, AML, CFT compliance.
Abandoned application automated re-targeting.

The key takeaway point from DOP 2.0 adoption into existing business model is; the capability to offer clients an AI-powered, user-centric process which provides a total end to end solution.

Client onboarding reimagined →

DOS 2.0 employs Business Intelligence services to model predictive analysis, to forecast transactional volume based on current trends. Availability of such forecasts will allow business to see if current support efforts will be able to sustain potential business growth in years to come and assure compliance with QoS requirements. Data analytics is overturning the way we do business with increased pace. Digital Onboarding Portal 2.0 cognitive services can utilize qualitative and quantitative information derived from data analytics to build a far more holistic consumer base, to adapt your digital onboarding process and validate your marketing efforts based on visitation metrics. DOS 2.0 will help you gain a competitive advantage in the marketplace.

AI technology at work for you

AI-POWERED PROCESS AUTOMATION.
REAL-TIME MONITORING.
ALERTS ON SERVICE DEGRADATION.
MACHINE LEARNING NEURAL NETWORKS.
AI COGNITIVE BEHAVIORAL ANTI-FRAUD.
OMNICHANNEL EXPERIENCE.
USER-CENTRIC PROCESS.
VOICE OF THE CUSTOMER ANALYSIS.
ML PREDICTIVE ANALYSIS MODELS.
OPEN API INTEGRATION.

DOS 2.0 open API architecture provides an easy and cost-effective path for AI-powered data analytics.

Legacy system vs. modernization →

One of the key challenges retail banks face is how to absorb digital disruption while taking regulatory and compliance requirements into consideration. The bulk of digital transformation happening in traditional banks today revolves around the customer front-end (online/mobile banking), while the middle and back office get bogged down with issues, such as:

Complex, legacy IT systems
Manual, paper-based processes
Siloed data sources
Higher costs for labor, infrastructure, error, and rework
Lack of agility
Lower customer satisfaction due to lack of a seamless experience

Maintaining legacy systems can eat up about 90% of a bank's technology budget, which has a significant impact on customer experience. This also renders the bank sluggish – only 30% of bankers feel their processes can adapt to external changes. It is therefore vital for banks to create a strategic roadmap based on the building blocks of digital adoption to make this transformation happen and get executed quickly. The best time to set the ball rolling is now.

Onboarding Antifraud Suite

Presentation
Factsheet PDF

AZN Antifraud Suite helps financial institutions to mitigate challenges associated with meeting KYC, AML and CFT compliance during digital client onboarding process.

Overview →

Autonomous Defense technology →

Our solution relies on AI-powered User Behavior Analytics (UBA) and known fraud metrics. UBA is based on the premise that human beings have distinct patterns of behavior, and identifying any deviations in these patterns can point to criminal intent.

The combination of AZN Fraud score and ID Document Verification during the Customer Due Diligence check assists financial institutions in meeting Anti-Money Laundering (AML), Know Your Customer (KYC) and Counter Terrorist Financing (CTF) compliance requirements, as well as reducing the risk of fraud. Our solution also assists with determination if data provided during the onboarding process crosses the threshold for Ultimate Beneficial Owners (UBO) reporting. Our country-specific, configurable antifraud metrics allows our clients to set requirements for each country they operate in:

Simplified Due Diligence (“SDD”)
Basic Customer Due Diligence (“CDD”)
Enhanced Due Diligence (“EDD”)

Video Identity Verification

Presentation

Catch 60% more fraudsters and also flag high-risk cases with the VIDV + Identity Antifraud formula, the most extensive set of KYC analysis in the industry.

Solutions

Brand Intelligence Suite 2.0

Customer Intelligence Suite 3.0

Advanced Analytics Suite 3.0

CIS 5 Integrations

About →

ChatGPT

Overview →

ChatGPT in action →

Brand Intelligence Suite 2.0

Defend your Brand →

Brand Intelligence Suite 2.0 in action →

We can automate <-> your tasks 24/7 →

Customer Intelligence Suite 3.0

Overview →

Customer Intelligence Suite 3.0 in action →

We can automate <-> your tasks 24/7 →

Advanced Analytics Suite 3.0

Overview →

Data analytics in action →

Some of AAS 3.0 successful integrations →

Digital Onboarding Portal 2.0

From application to activation in under 10 minutes→

Client onboarding reimagined →

Legacy system vs. modernization →

Onboarding Antifraud Suite

Overview →

Autonomous Defense technology →

Video Identity Verification

About→

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