Bay-Master vs LxCars

Bay-Master is auto repair shop management software for customers, estimates, work orders, payments, inventory, parts ordering, scheduling, and reporting. Shops can schedule tickets, name bays, set committed times, and view schedules by day, week, or month. Digital inspection forms can be customized with notes and pictures on a tablet or smartphone, with estimates created from an inspection. Parts tools show supplier availability, compare prices, check shop inventory, and order vehicle-compatible parts from a ticket. Customer features include service history, financing, and text and email reminders for appointments, services due, recommendations, and inactive customers. Its QuickBooks interface can post sales and accounts receivable tickets, track postings, and update inventory from deliveries and sales. Other listed connections include Carfax, Worldpac, MOTOR, Wisetack, PartsTech, NAPA Auto Parts, and Nexpart. Bay-Master lists Workstation + Cloud access and platforms including Android, iOS, web, and Windows. Its packages are Essentials, Traditional, and High Performance; Traditional lists two technician tablet connections and High Performance lists five. Essentials is described as suitable for a small shop that needs to create an invoice. Prices are not displayed; visitors are directed to sales.

LxCars is a web-based ERP for motor-vehicle repair shops and dealerships, combining customer management, invoicing, vehicle records, mechanic time tracking, and work planning. Its vehicle database connects to KBA vehicle data, and an AI-assisted scanner can extract details from photographed or uploaded registration documents. Mechanics can use work instructions, record time, and request spare parts; the TÜV module handles defects and inspection reminders. Accounting covers quotes, orders, invoices, and delivery notes, with DATEV export and role-based access rights. The Community plan is free and includes the full software, self-hosted under the MIT license. LxCars can run locally or in Docker on customer infrastructure, using PostgreSQL on its own server without a cloud dependency. Installation documentation specifies Linux server components including PHP 8 and PostgreSQL 16, or Docker and Docker Compose. Optional AI tools include call transcription, vehicle chat, work-item suggestions, number-plate recognition, incoming-invoice analysis, and an office assistant. Text requests are sent encrypted to Anthropic or OpenAI APIs; number-plate recognition runs locally.