Loading...

Technology & Engineering Services

The power of Data & AI Visionet’s customer-centric approach leverages advanced analytics and innovative AI/ML algorithms to help clients create a data-driven culture and tackle modern-day business challenges. Over the years, we have helped Fortune 500 companies construct data management platforms to leverage rich insights and benefit from our laser-focused AI & Data-driven solutions. We create valuable partnerships with our clients across various industry verticals. Our results-driven approach allows us to create & implement solutions that enable our clients to be responsive, agile, and competitive in a digital-first economy so they can reach new business heights.

Data and AI Services for Diverse Industries

demand-forecasting

Retail & Supply Chain

Modern analytics solutions augmented with advanced AI/ML algorithms that enable retailers to track and deep-dive sales trends, extract insights to understand customer behavior, optimize product portfolio & inventory levels, streamline logistics & supply-chain processes, and enhance customer satisfaction & experience.

data - ai - solutions

Life Sciences

Cutting-edge business intelligence solutions to help clients with drug discovery, delivering the highest standards in healthcare, ensuring patient satisfaction, and driving innovation in healthcare practices.

8-dataanalytics-big

Insurance

State-of-the-art data analytics solutions that enable generation of actionable insights around Cross-sell/Upsell Opportunities, Customer Risk Assessment, New Channel Discovery, and Customer 360° Analysis.

solution-partners

Banking

Helping banks gain competitive advantage through digital transformation to drive innovation, create modern strategies, and enrich customer experience.

Our Key Offerings

Segment Card Background

01

Modern Data Platform

State-of-the-art enterprise data platforms with integrated data governance methodologies for a robust data supply chain.

Segment Card Background

02

Modern Data Platform Accelerator: AcuitySpark

Visionet’s proprietary accelerator with a pre-built ingestion framework for rapid data ingestion from multiple sources to build a unified data platform.

Segment Card Background

03

Enterprise Analytics & Reporting

Advanced business intelligence services to transform enterprise-wide data into business knowledge to facilitate data-driven decision-making.

Segment Card Background

04

AI/ML Engineering

State-of-the-art AI models to solve complex business and data problems. Our AI models support millions of predictions daily, crunching terabytes of feature data while co-existing with cloud-native user apps and delivering impact.

Segment Card Background

05

Real Time Data Streaming & Processing

Consume real-time data from IoT devices and streaming sources to enable data processing and availability for fast and economical business applications while acting upon real-time insights.

Segment Card Background

06

Platform Migration

Leading-edge consultative solutions to facilitate the shift from on-prem computation to cloud-based solutions in order to reduce costs and maximize efficiency.

Segment Card Background

07

Cognitive Services

Leverage the power of Computer Vision to automate monitoring and reporting applications and recognize, capture, and generate valuable insights from images and videos.

Segment Card Background

08

DataOps/MLOps

Post-production support to ensure seamless operations, minimize overheads, and elevate efficiency.

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.

Download case study

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.

Read more How Data Analytics Enhances Customer Experience

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.

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

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.

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

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.

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

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.

Read More Demand Forecasting: How to Slash Inventory Using Machine Learning & Signal Processing
How-Data-Analytics-Enhances-Customer-Experiences
ai-powered-big-data-analytics-for-insurance-is-the-new-normal
remodeling-your-marketing
8-dataanalytics-big
demand-forecasting

Get in Touch

CONTACT US