Operational records
Record harvest batches, multi-item sales, waste, and inventory movements with first-expiring-first-out stock allocation.
Research / App case study
AniTala
A Java application connecting harvest intake, produce sales, FEFO inventory, waste, and audit-safe sale voiding to repeatable warehouse ETL, Apriori rules, and K-means buyer segmentation.
Local classroom prototype · synthetic data
- Java
- Javalin
- SQLite
- JavaScript
- JDBC
- JUnit
01 / Overview
What it’s built for.
Connect harvest-to-market transactions to a repeatable analytical warehouse and explainable mining results.
Who it serves
Students studying transaction processing, data warehousing, and mining in one application.
02 / Features
Inside the app.
Audit-safe corrections
Void sales without deleting them and restore allocated stock through traceable movements.
Warehouse and mining
Refresh reconciled warehouse facts, export CSV, and run Apriori rules and deterministic K-means buyer segmentation.
03 / Workflow
From task to outcome.
Record a harvest batch and its shelf life.
Complete a sale using eligible stock or record waste.
Inspect inventory and movement history; void mistaken sales when needed.
Refresh warehouse facts and inspect mining results and reports.
04 / Technical layers
How the pieces work.
HTML · Local Bootstrap · JavaScript
A responsive browser interface uses bundled assets for local operation.
Java · Javalin · JDBC
The loopback HTTP server validates transactions and rolls back incomplete sales.
Embedded SQLite
Operational tables and warehouse dimensions/facts are logically separate inside one database file.
ETL · Apriori · K-means
Repeatable loads and deterministic mining operate on synthetic teaching records.
05 / Limitations
What to keep in mind.
- Names, transactions, prices, and patterns are synthetic educational data.
- The server binds to localhost; it is not a public or LAN deployment.
- Mining outputs are classroom demonstrations, not findings about real agricultural behavior.
06 / Evidence
Follow the source.
These descriptions were reviewed against the linked source snapshot on October 12, 2026. Repository code and documentation may evolve after this review.