Data-driven Business Transformation Services

Business Transformation Services

Visionet’s data-driven business transformation services and proprietary products enable organizations to swiftly modernize business functions, drive value, improve customer experience, maximize profits, and increase business agility & efficiency. Through our advanced analytics expertise, enterprises can activate client data and extract valuable insights – allowing for seamless business operations transformation.

Retail Analytics Platform: Intelatics

Feature-rich Retail Analytics Platform that empowers organizations to extract valuable sales, customer, product, and operational insights to deliver business value, enhance efficiency, and boost sales. Intelatics leverages its in-built advanced AI algorithms and scalable cloud-based infrastructure to equip executives with state-of-the-art analytical capabilities such as Marketing ROI & Omni- Channel Analysis, Financial Forecasting, Customer Insights & Personalization, Inventory Optimization & Fulfilment, Supply Chain Logistics, and much more.

Evvox

Evvox is an end-to-end data analytics platform designed to increase insurance sales. With a wide range of insights around New Channel Discovery, Risk Analytics, Emerging Life Insurance Trends, Intelligent Customer Routing, Portfolio Management, and Customer Insights, Evvox provides business users data-backed insights to advance in the constantly evolving insurance landscape. Comprising of four main components: a data platform, advanced analytics & reporting, built-in AI/ML algorithms, and extensibility features, Evvox empowers insurers to meet customer needs, minimize risks, and maximize revenue.

Customer Data Platform (CDP)

Visionet’s Customer Data Platform solutions are designed to harness deep insights into customer behavior. With pre-built connectors for multiple data touchpoints, our CDP solutions allow you to seamlessly ingest customer data, deduplicate it to create golden customer records, and stitch customers’ data across all touchpoints to achieve a true 360° view. Leverage the power of our CDP offerings to garner rich actionable insights and deliver personalized customer experiences, maximize customer loyalty, and increase customer satisfaction.

Intelligent Apps

Leverage the power of next-generation AI-powered intelligent applications and seamlessly integrate data-driven insights with existing business operations to optimize real- time decision-making.

Ad-Hoc Data Science Services

Utilize the services of scientists from multidisciplinary backgrounds and leverage AI-backed quantitative methods to optimize processes and find growth opportunities using data. Our customized Data Science services are battle-tested for Marketing Spend Optimization, New Product Launch & Positioning, Order Fulfilment Planning, and Prescriptive Decision Science.

Digital Analytics

Use the latest tools and technologies to track key digital metrics and create interactive dashboards to monitor audience journey through the website, evaluate the performance of marketing campaigns, enhance customer experience, and maximize conversions.

Case Studies

Maximizing Customer Satisfaction and Boosting Operational Efficiency with an Advanced Customer Data Platform (CDP)

Visionet teamed up with a leading fashion brand to implement a state-of-the-art retail data platform. We equipped the client with the cross-channel data management platform and enabled them to better understand customer interactions.

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Insights

How Data Analytics Enhances Customer Experience

Data analytics works like magic when utilized properly. It has not only refined the customer experience but also revolutionized the customer-marketer relationship while multiplying sales and enhancing customer satisfaction. Paul Gaynor, a partner at PwC, states that advanced business analytics has the potential to predict everything from customer interaction to financial transactions, anywhere in the world. This equates to data as no less than a superpower for businesses today.

AI-Powered Big Data Analytics for Insurance is the New Normal

The COVID-19 pandemic is creating unprecedented disruptions around industries and insurance is not an exception. A pandemic coupled with economic uncertainty poses an opportunity as well as a major challenge to quantify risk and customer engagement for insurance companies. The main reason behind this disruption is the mandatory social distancing measures, signifying that digital transformation is not an optional creative idea anymore but a requirement. It will affect all aspects of the insurance business from underwriting to claims processing. Using rapidly changing alternative data and advanced big data analytics for insurance is no longer a nice-to-have option but will be a strong pillar of the insurance business strategy.

Remodeling your Marketing, Sales, and Merchandising departments for the data-centric enterprise

As digital services permeate every aspect of the world around us, data has begun to assume a central role. With increasing customer demands, growth expectations, and the need to evolve rapidly, data is an organization’s biggest source of competitive advantage. Real-time insights gathered by data are crucial to support digital initiatives and allow organizations to make better operational choices.

Data analytics and mass-customization in production: Delivering personalization at scale

Personalization is increasingly becoming an important part of the shopping experience. Customers who may have hesitated to provide their personal information in the past now appreciate customized product recommendations based on their engagement history with a brand. Brands feel the need to cater to this growing demand for personalization. If they can create value for customers on a personal level, they can then create meaningful connections and build a loyal customer base.

Demand Forecasting: How to Slash Inventory Using Machine Learning & Signal Processing

The spreadsheet-based manual forecasting approach that is still used in many retail organizations is not suitable for staying ahead of the competition and improving their bottom line. Manual adjustments of forecasts in this method leave all inventory spend decisions to human judgement, which pushes towards generalized decisions rather than going with product, vendor, and market-specific indicators.