Highlights
Slashed fluctuating sales patterns with AI-driven insights
Led with prediction accuracy through advanced ML modelling
Scalable analytics for enterprise growth
Slashed fluctuating sales patterns with AI-driven insights
Led with prediction accuracy through advanced ML modelling
Scalable analytics for enterprise growth
Client
DataVista Analytics
Industry
Retail & E-Commerce
Country
Singapore
Project Size
Large
Duration
7 Months
Team Size
10
The client struggled with fluctuating sales patterns and lacked real-time data insights to forecast demand accurately. This led to stock imbalances and delayed decision-making.
Coretus implemented a machine learning–powered predictive analytics engine that provided real-time, data-backed insights into customer demand and inventory optimization.
The ML solution transformed the client's operations, leading to smarter decision-making, higher profitability, and increased agility across markets.
| 40% | Increase in Demand Forecast Accuracy |
| 35% | Drop in Stock Waste |
| 50% | Faster Business Response Time |
| 25% | Improvement in Sales Conversions |
01
Map business goals and define data needs.
02
Clean, train, and validate high-performing models.
03
Seamlessly embed models into existing systems.
04
Continuously monitor, tune, and enhance performance.
01
04
By deploying Coretus' machine learning intelligence, DataVista Analytics achieved data-led operational excellence, optimized inventory, and elevated decision-making speed, driving consistent growth across global markets.
Coretus turned our data chaos into clarity. Their ML engine didn't just forecast better—it reshaped how we think about strategy. Truly transformative.
- Adrian Lim, DataVista Analytics
