IntelliBake: AI-Powered Bakery Inventory & Sales Optimization

Small and medium-sized bakeries face significant operational challenges due to manual inventory management and inefficient handling of custom orders, which leads to substantial food waste and lost sales. This paper presents IntelliBake, an integrated web application designed to automate and optimise these processes. A key innovation is the seamless processing of custom cake orders with image uploads, which are fully integrated into production planning. Furthermore, the system incorporates dynamic pricing strategies and optimises order batching to maximise production efficiency and profitability. Built on the MERN stack (MongoDB, Express.js, React.js, and Node.js), the system features a responsive Administrator Dashboard (Admin UI) for holistic control and a Customer Portal (Customer UI) for easy ordering. A pilot study simulating real bakery data demonstrated a 30% reduction in waste and a 15% increase in sales revenue. By merging data analytics with operational automation, IntelliBake offers a scalable solution that enhances profitability and sustainability for artisan bakeries.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-26
DOI
https://doi.org/10.5281/zenodo.17621040
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IntelliBake: AI-Powered Bakery Inventory & Sales Optimization

Zenodo (CERN European Organization for Nuclear Research)
Food Waste Reduction and Sustainability
article

IntelliBake: AI-Powered Bakery Inventory & Sales Optimization

article en

Abstract

Small and medium-sized bakeries face significant operational challenges due to manual inventory management and inefficient handling of custom orders, which leads to substantial food waste and lost sales. This paper presents IntelliBake, an integrated web application designed to automate and optimise these processes. A key innovation is the seamless processing of custom cake orders with image uploads, which are fully integrated into production planning. Furthermore, the system incorporates dynamic pricing strategies and optimises order batching to maximise production efficiency and profitability. Built on the MERN stack (MongoDB, Express.js, React.js, and Node.js), the system features a responsive Administrator Dashboard (Admin UI) for holistic control and a Customer Portal (Customer UI) for easy ordering. A pilot study simulating real bakery data demonstrated a 30% reduction in waste and a 15% increase in sales revenue. By merging data analytics with operational automation, IntelliBake offers a scalable solution that enhances profitability and sustainability for artisan bakeries.

Zenodo (CERN European Organization for Nuclear Research)
Vishwakarma University
Responsible consumption and production
Openalex Percentile: Top 41%
Food Waste Reduction and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.