Summary of Creating a Gen-ai Based Track and Trace Assistant Mvp (supertracy) For Postnl, by Mohammad Reshadati
Creating a Gen-AI based Track and Trace Assistant MVP (SuperTracy) for PostNL
by Mohammad Reshadati
First submitted to arxiv on: 4 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the application of generative AI in enhancing parcel tracking and communication at PostNL, the largest parcel and e-commerce corporation in the Netherlands. The goal is to create a Minimal Viable Product (MVP) that showcases the value of using LLM-based systems for parcel tracking, journey analysis, and easy-to-understand communication. To achieve this, a multi-agent system was developed using Retrieval-Augmented Generation (RAG) and optimized large language models (LLMs) tailored to domain-specific tasks. The system aimed to construct parcel journey stories and identify logistical disruptions with heightened efficiency and accuracy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary PostNL wants to use special AI to make tracking parcels easier. They made a small version of this idea, called the Minimal Viable Product (MVP), to show how it can help. The goal is to create an AI system that works inside the company, reducing their need for external help and proving that they can have a team that makes AI systems. This system uses something called Retrieval-Augmented Generation (RAG) to make sure responses are accurate. They also used big language models (LLMs) tailored to specific tasks. |
Keywords
» Artificial intelligence » Rag » Retrieval augmented generation » Tracking
