The nuts and bolts of forecasting-as-a-service
Our approach relies on four core principles:
1. Quantitative and qualitative data
We assess non-traditional indicators such as industry averages, government policies, and social media commentaries, along with internal sales, marketing, and inventory information. We then integrate this information with commercial data repositories to deliver faster insights.
2. Statistical analysis
Our pre-built accelerators, powered by Genpact Cora, exploit the latest developments in time series analysis, AI, and machine learning. Additionally, we track the latest thought leadership from academia and forecasting competitions to bring you the latest technological advancements.
3. Human and machine intuition
We convert business intuition into an analytical framework:
- We manage risk by creating and testing different scenarios and assumptions
- We deploy pilot models and measure the results
- We blend machine-driven insights with human expertise to make innovative forecasting solutions
4. Efficient processes
Our forecasting-as-a-service comprehensive approach speeds up decision-making by streamlining processes. Our team of data scientists, engineers, and subject-matter experts carefully assess each process to deliver tailored solutions.
What's more, newly standardized processes heighten efficiencies, so firms make more precise use of their assets, reduce logistics and operating costs, and conduct collections more effectively.