Autonomous LPG Depletion Analytics With Iot-Enabled Predictive Refill Orchestration

Q: What does this research mean for the field?

IoT-enabled predictive analytics can autonomously monitor LPG depletion and orchestrate refill processes. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Dr.Thanveer Jahan; AINAVOLU BHARATHI; CHERUKU UDAYKIRAN; BANOTH SIDDARTHA

doi:10.56975/ijcrt.v14i4.306451

January 1, 2026INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTSOpen Access

Autonomous LPG Depletion Analytics With Iot-Enabled Predictive Refill Orchestration

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Key Points

This research aims to explore how IoT technologies can enhance the efficiency of LPG depletion analytics and refill processes.
Implemented an IoT-based monitoring system for LPG levels.
Conducted predictive analytics to forecast refill needs.
Utilized autonomous orchestration techniques for refill scheduling.
Achieved a 30% reduction in refill delays compared to traditional methods (p<0.05).
Increased operational efficiency by 25% as measured by effective fill rates.
Demonstrated a user satisfaction score of 85% post-implementation.

Implication

Examines the effectiveness of IoT in optimizing LPG refill processes, suggesting significant operational improvements.

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Cite This Study

Jahan et al. (2026) studied this question.

synapsesocial.com/papers/6a080b38a487c87a6a40d728 https://doi.org/10.56975/ijcrt.v14i4.306451

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Autonomous LPG Depletion Analytics With Iot-Enabled Predictive Refill Orchestration

Key Points

Implication

Abstract

Discussion

Cite This Study

Autonomous LPG Depletion Analytics With Iot-Enabled Predictive Refill Orchestration

Key Points

Implication

Abstract

Discussion

Cite This Study

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