Restaurant POS

Private

Project *AFC APPFORSOLARArtificial Intillegence  » Algo Trade Automation  » Algo Trade Manual  » Bulk mail Automation with web interface  » Bulk Mail Service For Bench Sales  » Code Generation Tool  » Cold Emailing Automation (AI-Driven)  » Invoice Inventory Automation  » invoice to inventory for evergreen  » Test Automation  » What's app Bulk messaging with AI agents  » Zelle Payment for evergreenCharan Technologies _ DevelopmentEver green Farms USA (static website)Evergreen farms (pos)Evergreen React ApplicationFinwareGas Station ERPHackthonIT HappENSLucky BraidsMy Produce StandNexPumpNexZen Printer AgentNoxa_JewelleryOffice Requirments  » Daily Tasks For Madhu  » Employees requirements  » Recruitment senior mern stack developer  » Red MIne Speed  » Senior Mern Stack DeveloperQA TestersRare FruitsRegal SolarRegal Solar DMRegal Solar Energy_ ReactReliance Home Builders_ reactRemit2AnyRestaurant POSRSVPRushi GardensRV_ EngraverSoloar AppSri Farms _ DMSri_FarmsTech FourceTechnical RequirementsTechy_DevelopmentTechy_POS Travel Mate

Tracker *Bug Feature Support Testing

Subject *

Description Edit Today, I focused on researching dispute payment scenarios applicable to a restaurant POS system. During the first half of the day, I identified approximately 6–8 different types of dispute payment cases that can occur in real-world restaurant operations. I analyzed these scenarios in detail, including their causes and possible handling mechanisms. The compiled research and reference materials were documented and shared with the Team Lead for further review. In the second half of the day, I worked on the Table Page module. I identified an issue in the view timeline feature where the table occupied time was not being displayed accurately. I investigated the root cause and successfully resolved the issue on the frontend, ensuring the correct representation of table occupancy duration. Additionally, I addressed a critical issue related to table booking conflicts. Previously, when a table was already occupied, another customer was still able to book the same table simultaneously. I analyzed the backend booking service logic and implemented the necessary fixes to prevent double booking. Now, the system properly validates table availability before confirming a booking.