
Given that manufacturing involves complex production activities, by leveraging the power of structured and unstructured data, adoption of connected systems, and implementation of sensors in various manufacturing processes, manufacturers can improve their production accuracy and quality of products. With the help of the huge volumes of data that these systems generate, the manufacturing sector is using machine learning techniques and big data analytics to develop predictive statistical models that can help them make –
Our manufacturing solutions make sense
Customer Analytics
Build a 360-degree view of the customer and leverage consumer sentiments and usage patterns to develop better products, cross-sell, reduce customer churn.
Manufacturing Excellence
Improve product quality and yield, reduce product test cycle time and improve product rollout cycles by managing stock levels and logistics.
Demand forecasting
Gain insight into the demand for products to allocate production resources in the most cost- and profit-efficient way. Ramp resources up and down and retool at optimal times.
Digital Marketing
Enables you to analyse customer preferences, lifetime value, return, brand loyalty to help make intelligent decisions and improve sales forecasting, time-to-market and marketing ROI.
After-Sales Service
Helps you monitor and track after-sales and service-related processes to generate insights into supply chain and discover new service revenue opportunities.
Manage Production Risks
Identify potential risks to production from vendor problems to weather to macroeconomic issues. Score supplier quality and accuracy and detect issues that need your immediate attention.
Spend Analytics
Pinpoint inefficient spending practices and improve negotiated pricing, that take advantage of volume discounts.
Supply Chain Optimisation
Deploy sophisticated algorithms and data models to analyse production time/maintenance cost, analyse supply chain efficiency and logistics for better cost controls and profitability.