NextGen Order Management System for Enhancing Efficiency and Customer Engagement
Developed a next-generation order management system for a leading oilfield equipment and services provider. The objective was to enhance operational efficiency, improve customer engagement, and streamline supplier collaboration within the complex oil & gas supply chain.
THE CUSTOMER
BUSINESS GOALS
The existing order management system presented significant challenges that hindered operational efficiency and customer satisfaction. These included:
- Limited visibility into order status and location tracking: Difficulty in pinpointing the exact location of shipments and delays in updates created logistical hurdles.
- Difficulty integrating with diverse supplier networks: The existing system lacked the flexibility to seamlessly integrate with a wide range of suppliers, hindering access to a broader inventory pool.
- Inability to handle both B2B and B2C transactions effectively: The system wasn’t equipped to manage the complexities of B2B purchase orders with customized pricing and terms, nor cater to the user experience of individual B2C customers.
- Manual and time-consuming processes: Repetitive manual tasks slowed down overall operations and limited the ability to focus on strategic initiatives.
THE SOLUTION
ThirdEye Data proposed a comprehensive AI-powered order management system with some key features: real-time tracking, a supplier network platform, a flexible transaction framework, an integrated image recognition solution, and an automated CRM system. Additionally, it includes email integration, allows for human intervention, and features advanced data analytics and complex machine learning algorithms.
Key Features of the AI-Powered Order Management System
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Real-time Order Tracking: Provides end-to-end visibility on order status and movements. The system integrates with logistics partners’ tracking systems (utilizing GPS technology) and internal inventory management software for a holistic view of product movement throughout the supply chain.
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Dynamic Supplier Network: Leverages machine learning algorithms to analyze real-time inventory data from various suppliers. This allows for automatic identification and collaboration with alternative suppliers when products are out-of-stock, ensuring order fulfillment and reducing the risk of lost sales.
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Unified B2B & B2C Support: Offers a flexible transaction framework adaptable to both B2B and B2C markets, streamlining ordering processes. B2B customers can manage complex purchase orders with customized pricing and terms through a secure online portal with role-based access control. B2C customers benefit from a user-friendly interface, intuitive navigation, and secure online payment gateways for a seamless shopping experience.
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Customer Image Recognition: Allows customers to upload images for product identification, simplifying the ordering process. Computer vision technology analyzes uploaded images and matches them against the product database, eliminating the need for exact part numbers or descriptions.
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Automated Customer Follow-Up: Utilizes a CRM system with automated reminders assisted by natural language processing (NLP) to analyze customer interactions and identify potential follow-up opportunities, freeing up sales teams to focus on building relationships.
VALUE CREATED
The next-generation order management system, recently deployed as an MVP, awaits the on-ground analysis report from the customer. However, anticipation is high as they foresee substantial value delivery to the market.
Our approach integrates data from diverse sources, harnesses automation functionalities, and employs advanced computer vision technologies. Through this, we aim to ensure that the system achieves notable enhancements in efficiency, customer engagement, and cost savings for our valued customer.
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