Shypbuddy, a logistics provider, faced slow manual customer support, inefficient real-time shipment tracking, static FAQs with poor search, security risks from exposed credentials, and scalability challenges, prompting CloudifyOps to build an intelligent, secure, and scalable chatbot platform.
Shypbuddy struggles with slow and inefficient logistics query handling, where shipment tracking, FAQ retrieval, and database queries take too long due to fragmented systems. Customers face delays in getting accurate information, while support teams spend extra time routing queries manually, leading to poor scalability, inconsistent service quality, and difficulty maintaining secure, real-time shipment data access.
CloudifyOps migrated Shypbuddy’s logistics queries to a serverless, AI-powered AWS setup using Lambda, API Gateway, RDS, Qdrant, and CloudWatch. This cut support costs by 35% and infrastructure spend by up to 30%, with scalable pay-as-you-go pricing. TCO analysis, ROI modeling, and value stream mapping ensured faster responses, higher customer satisfaction, and predictable long-term cost efficiency.
CloudifyOps migrated Shypbuddy’s logistics queries to a serverless, AI-powered AWS setup using Lambda, API Gateway, RDS, Qdrant, and CloudWatch. This cut support costs by 35% and infrastructure spend by up to 30%, with scalable pay-as-you-go pricing. TCO analysis, ROI modeling, and value stream mapping ensured faster responses, higher customer satisfaction, and predictable long-term cost efficiency.
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