Written by Luqman Khanzada
Java Developer OMSCustomer demands have changed significantly in recent times and they expect businesses to deliver perfect orders. As a result, a substantial segment of customers is leaning towards the Buy Online Pick up In-Store (BOPIS) model as it allows them to test the product in a store nearby. Therefore, businesses are initiating omnichannel retailing to deliver seamless shopping experiences to customers.
With the number of customers increasing, it is becoming difficult for businesses to anticipate their behaviour as it can drastically change in a short span of time, making it difficult for companies to act accordingly in time. This sometimes leads to a stockout causing customer dissatisfaction and reduces loyalty levels. Therefore, many businesses are using Artificial Intelligence to analyze customer behaviours and anticipate demand beforehand to ensure quick responses. This allows businesses to gain a competitive advantage in this saturated eCommerce market. IBM Sterling Fulfillment Optimizer with Watson is a solution that creates a statistical model of the data and provides an insight into customer behaviours.
IBM Sterling Fulfillment Optimizer with Watson is a complementary capability of IBM Sterling OMS to boost existing order management systems. It features a powerful AI engine with advanced analytics that can be used with an existing order management and inventory visibility system to optimize sourcing and help make better fulfillment decisions. IBM Sterling Optimizer with Watson also provides access to complete data across the enterprise in a meaningful way for managers to make the best business decisions.
IBM Sterling Optimizer with Watson leverages Artificial Intelligence and cognitive ability to learn patterns and provide critical information such as future trends and opportunities.
The dashboard view provides comprehensive details so that meaningful information is available at fingertips for managers to analyze and act accordingly.
IBM Sterling Optimizer with Watson simulates different fulfillment strategies using Artificial Intelligence before making them live to analyze their impact on businesses.
The Optimizer has the capability to create what-if scenarios and simulate them based on data and AI predictions on future demand to see how they will affect the business before making the changes live to minimize risks. This feature can also be used to test different fulfillment strategies and compare them to ensure improved efficiency and performance.
The powerful AI engine uses sales and demand data to learn patterns and optimize inventory to fulfill customer expectations. It prioritizes slow-moving inventory in stores and shifts inventory away from locations where the demand is low to maintain supply-demand balance and maximize profit.
IBM Sterling Fulfillment Optimizer with Watson enables real-time order sourcing flexibility and maximizes optimization using its powerful AI engine. It enables new sourcing decisions based on the complete cost-to-serve by analyzing the available capacity, labour, and overtime.
The tailored dashboard provides complete details to ensure that managers can monitor operations smoothly and investigate further when required using the data. It can easily be integrated with pre-existing order management solutions to provide advanced analytics. Managers can use the data from the dashboard to analyze the performance, create data-driven reports, and take faster preventive actions when needed.
IBM Sterling Fulfillment Optimizer with Watson provides actionable insights resulting in enhanced agility and improved business results. Users can dynamically monitor, and gain comprehensive and actionable views across the entire enterprise. It also detects market trends, opportunities, and patterns using cognitive abilities, which help to gain a competitive advantage by preparing in advance for upcoming trends.
With its cognitive analytic engine, it is capable of significantly reducing shipping and fulfillment costs by learning and improving omnichannel fulfillment using AI. Additionally, it simplifies the evaluation of different carriers in real-time to prioritize nodes with the least cost-to-fill automation of splitting the order effectively, resulting in an optimized customer experience all while reducing costs.
IBM Sterling Fulfillment Optimizer with Watson is a powerful tool that utilizes Artificial Intelligence and cognitive abilities to optimize fulfillment and minimize cost. It empowers businesses to reach closer to their customers, recreate workflows, spot new opportunities, and convert them. Royal Cyber is an IBM Business Partner with a dedicated team of professionals who can help to implement IBM Sterling OMS solutions. With security measures to integrate IBM Sterling Fulfillment Optimizer with Watson to any eCommerce platform, we ensure that privacy is kept intact. Contact us to know how we can assist you in delivering multiple fulfillment options for customers and streamline operational effectiveness.