Integrated Triumph: Natural Liquid Group's Leap with Datavtar
Two QuickWins, One Success Story: Demand Forecasting & New Product Development
By Abhishek Kotecha, Founder & CEO, Datavtar Inc.
Published on 29 July 2023
Introduction
Natural Liquid Group, a Slovakia-based chemical company, embraced Datavtar's dual QuickWins - Consumer Analysis and New Product Development - in a bid to streamline their demand forecasting and launch a sustainable product. Collaborating closely with the client's R&D and IT teams, Datavtar's solutions empowered Natural Liquid Group to make a significant leap forward in their market performance.
The Solution
Starting with the Data Foundations service to solidify their data infrastructure, the Consumer Analysis QuickWin was implemented to understand consumer preferences and behaviours in the market. This understanding was vital to developing an accurate demand forecasting model. Parallelly, the New Product Development QuickWin, powered by Generative AI, facilitated a new sustainable product's ideation, development, and launch.
Our Future Predictions service refined demand forecasting by identifying trends and potential market changes. The Decision Guidance service enabled Natural Liquid Group's R&D team to make data-backed strategic decisions, enhancing the success rate of the new product launch. The company's IT team received ongoing support through our Global Managed Services and Custom Application Development & Integration enablers.
Impact
Integrating Datavtar's QuickWins resulted in an improved demand forecasting model and the successful launch of a new sustainable product. With better market predictions and a product that resonated with their target consumers, Natural Liquid Group elevated their standing in the chemical industry.
"Datavtar worked seamlessly with our IT and R&D departments, bringing our vision to life. Their innovative solutions significantly impacted our product development and demand forecasting."
- CTO, Natural Liquid Group
Further Engagement
Natural Liquid Group continues to engage with Datavtar for their ongoing data infrastructure management and data-driven decision-making processes.
This case study is hypothetical and intended to demonstrate the potential of Datavtar's services.