Queue Management with intelligent Wait-Time Prediction
Virtual waiting lists with load-aware staff assignment and real-time displays, paired with a forecasting engine that produces live ETAs from historical service data — in active development.
Innovation Lab
What we're building next
The Lab is where we prototype the future of scheduling and queueing — AI-first ideas we validate on inLineMe before bringing them to client work.
AI Scheduling
Self-optimizing calendars that balance demand, staff and customer preference automatically.
Workforce Optimization
Aligning rosters to predicted demand to cut idle time and wait times together.
Inventory Management Platform
A bilingual (English / French-Canadian) SaaS inventory and order-management solution — barcode stock control, suppliers and purchase orders, reorder suggestions, sales invoicing with VAT and GST/HST/PST tax, and reporting with Excel and PDF export. Multi-business with role-based access and full audit logs.
AI-powered wait-time prediction
A staged wait-time engine that blends a capacity estimate — queue length, staff on shift and rolling average service time — with live throughput to produce per-customer ETAs, streamed in real time over WebSockets. A holiday-aware ML model is the next stage.
Queue optimization
A real-time queue engine that runs walk-ins and appointments in one ordered list — tracking each entry from waiting to notified to served, with live position, ETAs and no-show handling. State is broadcast to staff and customer displays over WebSockets, with load-aware automatic staff assignment on the way.
Want to co-build the future?
If one of these directions maps to your business, let's prototype it together — fast, on serverless, with AI at the core.