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The access to accurate data has become a key factor for decision-making in businesses, especially those that maintain direct interaction with their customers. In this context, Parcel Perform, an artificial intelligence platform focused on delivery experience for e-commerce, has introduced an innovative system that optimizes access to information and enables business teams to make informed decisions quickly and efficiently.
Parcel Perform’s new solution is dedicated to detailed tracking of post-purchase deliveries, a crucial aspect for online retailers. By leveraging advanced technologies from Amazon Web Services (AWS), the platform processes millions of data points related to package movement every day, providing merchants with a unified tracking capability that prioritizes both accuracy and simplicity.
With the recent implementation of an AI-powered text-to-SQL functionality, business teams can independently access the data they need to answer critical questions about deliveries. They can now investigate, for instance, whether there has been an increase in delivery delays, at which facilities those delays occurred, and what caused them. Prior to this improvement, these queries required intervention from the data team, resulting in significant delays in accessing information.
The analytical architecture of Parcel Perform allows for the ingestion, storage, and agile access to data. This infrastructure combines relational databases with an object storage system, facilitating SQL query execution through Amazon Athena. The system also harnesses data stream management via Apache Kafka, enabling real-time processing and efficient data updates.
The AI assistant designed for queries represents a significant advancement in user experience. Its structure is supported by a framework that enhances interaction with large language models (LLMs), generating SQL queries that align with the logistics industry’s terminology. This ensures that the interpretations of questions are accurate and relevant, benefiting both Parcel Perform and its clients.
However, the implementation of this solution has not been without challenges. Parcel Perform has had to confront ambiguities in merchant names, formulate questions that do not generate costly queries, and address the need for cost tracking associated with various AI projects.
Despite these challenges, the incorporation of the AI agent has resulted in a drastic reduction in the time required to obtain information. Measurements indicate that the average time to access data has decreased by 99%, dropping from 2.3 days to just 10 minutes. This not only improves internal efficiency but also allows for quicker and more effective customer service, enabling them to access critical data in real time.
Parcel Perform’s initiative highlights the transformative potential of artificial intelligence in business processes and significantly enhances the customer experience in e-commerce. Through automation in data access, the company has increased its effectiveness, focusing on more complex analyses and freeing up time and resources for higher-impact efforts.
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Referrer: MiMub in Spanish
