A High-Powered AI-Driven Analytics Platform Helps Tell the Whole Story

A High-Powered AI-Driven Analytics Platform Helps Tell the Whole Story

Business expansion demands improved decision-making. The key to making better decisions is understanding business data and distributing that data more quickly to those who require it. But this information is meaningless ones and zeroes without context. Having the tools to leverage data, predictive models, and generative AI capabilities to make better decisions is a major goal of CEOs who wish to create a data-driven organization. 

Enter artificial intelligence-driven (AI) Analytics, which is used to track and analyze data, allowing you to create actionable reports and dashboards. AI Analytics refers to the use of AI techniques and algorithms to automate analysis procedures, evaluate and interpret data, extract insights, and generate forecasts or recommendations.

To quantify and understand the significance of data, AI Analytics applies computer programming, statistics, and operations research. With the use of data analysis tools, you may compile big data sets from numerous sources into databases. Many data platforms are user-friendly enough for anybody to use. An AI Analytics solution that is highly customizable can provide companies across industries with both high-level monitoring that focuses on the overall performance of the enterprise, and comprehensive coverage of every aspect of your organization.

Whether your business is distribution, manufacturing, retail, or service; implementing an AI Analytics solution such as VAI S2K Analytics, will help you uncover the hidden insights that your organization needs to excel. VAI Analytics is known by its users for its customization and agility. It is an AI-powered automation solution that includes IBM Cognos with Watson AI. It enhances the potential of your data, providing vital insights for your company.

One such user from a company that utilizes VAI S2K Analytics stated that he receives every one of his 36 companies that AI parses within one report, wherein he can see everything needed, without having to worry about marrying files together. He uses the software to receive reports every month from the sales representatives, vendors, divisions, and company, bringing everything into detail and making it easy to track what is going on. 

When searching for an AI Analytics solution to deploy in your organization, consider the following:

Why is it important to find an AI-infused Analytics solution that offers powerful, user-friendly dashboards and reports? Because these can be tailored to your company's specific dynamics, featuring a range of visualizations immediately for easy data comprehension – enabling you and your team to extract meaningful insights. Be sure to leverage pre-built reports and dashboards to have a real-time understanding of the performance of your company.

Track and measure key performance indicators. Use your Analytics to evaluate critical activities like customer fill rates and vendor performance, against set targets. The platform should emphasize transparency, effective communicating performance, and assisting in goal tracking. Your Analytics tool will help your team gain insight into a lot of different areas, including inventory levels, fill rates, and profitability.  

Ability to strengthen customer service and gain a competitive advantage. Your AI Analytics should be purpose-built to foster customer service that often requires more personalized and strategic support. It emphasizes the importance of partnerships, not tools. Also consider when you can truly analyze a customer down to the item level in real-time, you have an enormous competitive advantage in the marketplace.

By enhancing revenue through the discovery of new business opportunities, reducing expenses through the identification of operational blind spots, and guaranteeing superior user experiences, AI analytics can assist companies in making better decisions for their business models and contribute to their overall success.

Jason Richter

Director of Analytics Applications

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