Comm-bot: Generative AI for Optimising Supply Chains integrating LSTM with LLMs

The objective of this paper is to improve the efficiency of supply chains in a small commerce environment. It optimises inventory management by increasing the accuracy of demand prediction and recommends suggestions in natural language. Small businesses face challenges such as budget constraints, unaffordable solutions, and a lack of forecasting expertise, which can result in stock shortages or excess inventory, impacting profitability.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/hipcw63042.2024.00082
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
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article

Comm-bot: Generative AI for Optimising Supply Chains integrating LSTM with LLMs

M. Venkatachalam, Priya Thiagarajan, P. Chitra, Vijaya Dhaarshini
Advanced Manufacturing and Logistics Optimization
article

Comm-bot: Generative AI for Optimising Supply Chains integrating LSTM with LLMs

M. Venkatachalam, Priya Thiagarajan, P. Chitra, Vijaya Dhaarshini
article en

Abstract

The objective of this paper is to improve the efficiency of supply chains in a small commerce environment. It optimises inventory management by increasing the accuracy of demand prediction and recommends suggestions in natural language. Small businesses face challenges such as budget constraints, unaffordable solutions, and a lack of forecasting expertise, which can result in stock shortages or excess inventory, impacting profitability.

Affordable and clean energy
Openalex Percentile: Top 59%
Advanced Manufacturing and Logistics Optimization
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Comm-bot: Generative AI for Optimising Supply Chains integrating LSTM with LLMs — M. Venkatachalam, Priya Thiagarajan, et al. · (2024) | TGRS Research Map | TGRS