Next-Generation TLOG Platform
TLOGic: Secure, High-Performance Retail Data Intelligence
TLOGic is REDList's next-generation platform for IBM/Toshiba transaction-log analysis. It combines fast local processing, operational analytics, AI-assisted insight workflows, and load-testing tools for enterprise retail teams.
From day-to-day transaction diagnostics to performance benchmarking and AI-driven analysis, TLOGic is built to turn raw POS data into trustworthy, actionable decisions.
High-Level Capabilities
TLOGic spans core transaction analysis, operational KPI views, AI exploration, and testing workflows in one interface, making it easier for engineering and operations teams to collaborate on the same data foundation.
Transaction Intelligence
Inspect raw transaction details, transform output formats (JSON/XML/POSLOG), and drill into operational data quickly for root-cause analysis.
Retail KPI Analytics
Review departments, operators, customers, and item-level metrics with dashboard-style summaries that help teams identify trends and anomalies.
Built-In Performance Tooling
Create ready-to-run load test packages for k6 and JMeter, then analyze throughput, latency, and error behavior from test results.
Security by Design
Transaction processing is designed to happen client-side in the browser using WebAssembly, with local handling of sensitive analysis workflows.
Client-Side Processing
TLOG parsing and analysis are performed locally in-browser, reducing unnecessary movement of transaction data.
Controlled AI Data Paths
AI provider API keys are configured by the customer and kept local to the browser context, with data sent directly to the selected provider for analysis.
Enterprise-Oriented Posture
The platform aligns around practical controls for authentication, observability, and dependable behavior in high-volume retail environments.
Speed, Performance, and AI Playground
TLOGic emphasizes high-performance processing with WASM-based parsing/filtering, plus an AI Playground workflow for structured prompts, multi-file analysis, and actionable recommendations.
WASM Performance
WebAssembly-backed parsing and filtering support fast interaction loops when exploring large transaction sets.
Load Testing Workflow
Generate complete k6/JMeter test packages from real transaction data, then measure throughput and latency for realistic RIO Server benchmarking.
AI Playground
Run guided AI analysis across TLOG files to identify anomalies, compare performance patterns, and generate operator-focused recommendations.