Global customer experience and technology consultancy services company CSS Corp helps brands reimagine customer engagements. It helps clients manage over 1.2 billion interactions and, in the process, provides technologies, tools and solutions to enhance customer engagements. Its area of focus includes shifting from reactive to pre-emptive modes and helping companies adopt the right strategies to bring in efficiencies and delivery models optimisation.
Global customer experience and technology consultancy services company CSS Corp helps brands reimagine customer engagements. It helps clients manage over 1.2 billion interactions and, in the process, provides technologies, tools and solutions to enhance customer engagements. Its area of focus includes shifting from reactive to pre-emptive modes and helping companies adopt the right strategies to bring in efficiencies and delivery models optimisation.
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Recently, Analytics India Magazine got into a conversation with Dr Kiran Marri, Chief Scientist and Vice President of Digital Engineering at CSS Corp, to understand how CSS Corp is leveraging artificial intelligence and machine learning.
Kiran is an industry consultant, educator, and researcher with over 18 years of experience in software and systems. An alumnus of IIT Madras (BE, MS and PhD), Kiran’s current role at CSS Corp includes developing innovative solutions, creating sustainable business models for growth, and launching new services in the digital, engineering and testing practices. He is currently researching to apply ML techniques and optimisation algorithms to solve complex engineering and software problems, build solutions for early validation strategies, and develop UX tools for global clients.
Edited excerpts from the interaction:
AIM: What are CSS Corp’s core tech products?
Dr Kiran: We have reimagined customer engagements and have enabled over a billion customer service and support transactions in over 25 languages across 19 global locations. We help clients succeed through intelligent automation-led outcomes and customer-centric solutions & services with the help of two AI-driven platforms:
CSS EDISON: AI-led cloud-based CX transformation platform.
CSS CONTELLI: AIOps platform; it takes an outcome-based approach and leverages cognitive RPA, AI, automation, augmented reality, and advanced analytics for IT support and services.
COEUS: provides real-time insights into agent performance and helps improve overall efficiency and productivity. Last year, COEUS analysed over 10 million transactions, resulting in a 50 per cent improvement in service levels across accounts and increasing employee productivity levels by 25 per cent.
These platforms cut across the front and back offices of any enterprise to drive meaningful business outcomes.
AIM: What tech tools do you use?
Dr Kiran: Our tools vary depending on the services. We use a broad mix of proprietary home-grown tools as well as industry-standard tech tools.
AIM: How are you leveraging AI and ML technologies?
Dr Kiran: CSS Corp proposes a set of solution elements that are flexible and extensible – supported by optimum service delivery model and usage of next-generation tools, methodologies, and framework. Our framework for AI/ML projects across domains is based on five fundamental tenets:
Design right talent sourcing strategy for the program
Define a CoE model that will provide utmost operational flexibility and tight alignment to business goals while achieving the benefits of consolidation and standardisation
Enable Service Transformation that consists of tools, accelerators, new practices, and solution components, and part of ‘managed services’ delivery model, driven by SLA framework
Implement an execution framework based on CSS Corp offerings that will enable rapid and de-risked transition, process standardisation and fosters innovation
Implement Program Management and Governance guided by KPIs, metrics, and stakeholder specific dashboard
AIM: Provide us some real-life use cases.
Dr Kiran: Here are some use cases:
One of our US-based OEMs faced difficulty detecting the quality of images (video streaming) in UCAAS products. We improved their quality benchmarking using our AI/ML and computer vision solutions.
A Europe-based CPF company had challenges in detecting faulty image uploads and automating the process flow. With our cutting-edge solutions that leverage AI/ML, computer vision, and customer algorithms, we enhanced their user experience and quality.