STRATEGICALLY SERVING VERTICALS 

Know the aftermarket business before it happens by leveraging advanced predictive analytical solutions.

• Predict demand for inventory deployment.
• Anticipate and plan for warranty and recall issues.
• Optimize pricing and inventory for customer acquisition and retention strategies.
• Improve service scheduling with IoT data from sensors in components and subsystems.
• Improve product quality by informing upstream processes in manufacturing quality, supplier quality, and product development quality.
• Increase the lifetime value (total revenue) from servicing the installed base.

Increase the wealth of an organization by managing and improving the health of its employees.

• Scheduling workforce by using algorithms to predict future admission trends.
• Predictive analytics to reduce re-admission rates and in the areas of behavior, risk and fraud.
• Cloud-based system using big data, analytics and machine learning to create prescriptive decision making for better patient outcomes.
• Platform for data aggregation, distribution and analytics for outcome based healthcare.
• Big data and advanced analytics for financial analysis, cost management, pharmacy benefit management, and clinical improvements.
• Improve operational efficiency and patience care through IoT-enabled solutions.

From enterprise level to the line level incorporate data science to optimize production and generate the highest value.

• Optimize production planning and scheduling.
• Machine learning algorithms to optimize capacity utilization.
• Automate performance driver and bottleneck identification to predictively mitigate process fluctuation.
• Optimize the first-pass yield by tracking in real-time variances that affect quality.
• Automated dashboards for tracking and reporting including IoT information.
• Predictively monitor asset failures to minimize line down-time.

Build market share and personalize customer experience through innovative Big Data strategies.  

• Artificial Intelligence (AI) to sense and predict demand and prescribe inventory deployment strategies.
• Use unstructured data to “listen” to your customer and AI to design marketing campaigns to attract and retain them.
• Analytics to improve layouts, promotional displays and product placements. 
• Machine learning algorithms to create dynamic restocking and assortment strategies.
• Advanced analytics to measure shoppers’ response to price, promotion and markdown strategies.
• Big Data analytics to maximize the lifetime value of the customer.

Drive your organization’s supply chain in top gear with data-driven solutions.

• Predictive analytics to forecast inventory and optimize labor requirements.
• Blockchain solution for securely and transparently tracking all types of transactions across the supply chain.
• Big data analytics for optimizing capacity utilization, reducing risk, improving customer experience and creating new business models.
• IoT cloud-based collaborative platform for end-to-end supply chain tracking and optimization in real-time.
• Last mile route optimization using GPS-enabled Big Data telematics.
• Optimize warehouse slotting to improve space and increase picking efficiencies.

Radically transform wholesale distribution to create new sources of revenue and increase margins to foster profitable growth.

• Artificial Intelligence (AI) to sense and predict demand and prescribe inventory deployment strategies.
• Advanced analytics to determine the net profitability of a sale including returns, discounts, promotions, and buy-backs.
• Predictive analytics to target customers with products and services, and reduce risk.
• Predictive analytics for New Product Introduction (NPI) based on historical NPI launches and other product profiles.
• Apply predictive analytics to CRM and accounts receivable (AR) to monitor individual and group of customers for credit defaults.
• Optimize labor scheduling in the warehouse based on number of orders and order profiles.