Empowering SMEs with SustainWater Bot to advance urban water sustainability

• SMEs lack IS support for sustainable urban water transitions. • SustainWater Bot uses LLMs and RAG for integrated data insights. • Provides timely SUWI information via a QA framework for SMEs. • Open-source tech ensures cost-effective, adaptable solutions. • Empowers SMEs to adopt eco-friendly water practices. Climate change, population growth, and resource constraints are intensifying pressure on urban water systems (UWSs), prompting a shift toward integrated information management. Due to their agility and reach, small- and medium-sized enterprises (SMEs) are central to this transition. However, many SMEs lack access to robust information systems (ISs) that consolidate government initiatives, industry trends, and broader water-related data, impeding sustainable adoption. This study introduces SustainWater Bot , a chatbot driven by generative artificial Intelligence (GenAI), including large language models (LLMs) and retrieval-augmented generation (RAG). Designed to fill this information gap, SustainWater Bot addresses the shortcomings of conventional LLMs, such as information misalignment, over-complexity, and information deficiencies. RAG enables semantic consolidation of various sources, such as news, government reports, industry insights, academic research, and social media, into an integrated IS. The evaluation results showed that RAG with LLM-based methods outperformed traditional information retrieval (IR) techniques, with Llama3.2:3b achieving top scores in precision (95%), completeness (95%), and exact match (90%). Traditional IR techniques such as term frequency-inverse document frequency (TF-IDF) and best matching 25 (BM25) performed lower but offered quicker responses. SustainWater Bot supports informed decision-making through a question-answering (QA) framework that delivers relevant insights on sustainable urban water initiatives (SUWIs). It is built on open-source technologies and offers SMEs a cost-effective, scalable, and sustainable solution to enhance eco-friendly water practices and operational efficiency.

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Publication Details

Journal
Sustainable Cities and Society
Published
2025-09-01
DOI
https://doi.org/10.1016/j.scs.2025.106793
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
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article

Empowering SMEs with SustainWater Bot to advance urban water sustainability

Zainab Riaz, Muhammad Arslan, Saba Munawar
Sustainable Cities and Society
FinTech, Crowdfunding, Digital Finance
article

Empowering SMEs with SustainWater Bot to advance urban water sustainability

Zainab Riaz, Muhammad Arslan, Saba Munawar
article en

Abstract

• SMEs lack IS support for sustainable urban water transitions. • SustainWater Bot uses LLMs and RAG for integrated data insights. • Provides timely SUWI information via a QA framework for SMEs. • Open-source tech ensures cost-effective, adaptable solutions. • Empowers SMEs to adopt eco-friendly water practices. Climate change, population growth, and resource constraints are intensifying pressure on urban water systems (UWSs), prompting a shift toward integrated information management. Due to their agility and reach, small- and medium-sized enterprises (SMEs) are central to this transition. However, many SMEs lack access to robust information systems (ISs) that consolidate government initiatives, industry trends, and broader water-related data, impeding sustainable adoption. This study introduces SustainWater Bot , a chatbot driven by generative artificial Intelligence (GenAI), including large language models (LLMs) and retrieval-augmented generation (RAG). Designed to fill this information gap, SustainWater Bot addresses the shortcomings of conventional LLMs, such as information misalignment, over-complexity, and information deficiencies. RAG enables semantic consolidation of various sources, such as news, government reports, industry insights, academic research, and social media, into an integrated IS. The evaluation results showed that RAG with LLM-based methods outperformed traditional information retrieval (IR) techniques, with Llama3.2:3b achieving top scores in precision (95%), completeness (95%), and exact match (90%). Traditional IR techniques such as term frequency-inverse document frequency (TF-IDF) and best matching 25 (BM25) performed lower but offered quicker responses. SustainWater Bot supports informed decision-making through a question-answering (QA) framework that delivers relevant insights on sustainable urban water initiatives (SUWIs). It is built on open-source technologies and offers SMEs a cost-effective, scalable, and sustainable solution to enhance eco-friendly water practices and operational efficiency.

Sustainable Cities and SocietyVol. 132
Abu Dhabi University (AE), University of the West of England (GB), National University of Computer and Emerging Sciences (PK), Pakistan Telecommunication Company (Pakistan) (PK)
Openalex Percentile: Top 61%
FinTech, Crowdfunding, Digital Finance
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