Quicklizard is a modular pricing platform built for modern retail and brands. It combines a trusted data foundation, explainable decisioning, and controlled execution so pricing teams can model, simulate, and deploy price actions across SKUs and channels with speed, control, and traceability.
Elevate your strategy by moving from manual guesswork to intelligent pricing without sacrificing control or accountability.
The platform is designed for one goal: scalable pricing execution with control and traceability.
Unified data layer combining all relevant sources of information from product master data to sales transactions, inventory status, competitor prices and behavioral data such as online traffic, on-site and in-store shopping behavior, or external contextual information incl. local holidays and weather data.
Continuous data validation and integrity checks, regular article segmentation, price elasticity estimation, competitor sensitivity assessment, seasonality detection, and demand forecasting and stock prediction.
Off-the-shelf AI modules from competitive pricing, revenue maximization or profit optimization to lifecycle pricing incl. clearance automation and dynamic stock-based price adjustments preventing out-of-stock or reducing overstock.
Ensuring minimum margins, maximum prices, price stability & freeze periods, regulatory compliance, change corridors and psychological price points.
Systematic channel steering, product family creation and alignment, price tier structure and pack size architecture, bundle and multipack lineup.
A traceable AI logic that teams can review, justify, and operationalize across categories and channels explaining every recommendation step-by-step
Best-practice graphs & dashboards and custom reporting visualizing price performance, channel contribution, forecasts & seasonality, recommendations distribution, or price change impact simulation to derive actionable insights and efficiently assess recommendations on aggregated level.
Thresholds, confidence bands, approvals, and role-based access control (RBAC) are designed for safe automation. CSV uploads for key business parameters allow for easy manual steering.
Sandbox environment for shadow-pricing and built-in A/n-testing for validation of recommendations before activation and scaling.
Pre-built connectors (SAP, Shopify, Magento) and workflows to execute across ecommerce, marketplaces, stores, and price display systems.
Traceable actions that link each price change to inputs, logic, approvals, and measured outcomes.
Move from manual cycles to strategic automation with a modular roadmap designed for speed. Start with a fast pilot to prove uplift, then scale into a governed enterprise engine with zero black-box risk.
Weeks 1 to 4
Weeks 5 to 12
Weeks 13 to 18
Week 19 and Beyond
Start with what you need and expand as coverage grows.
Move from manual cycles to strategic automation with a modular roadmap designed for speed. Start with a fast pilot to prove uplift, then scale into a governed enterprise engine with zero black-box risk.
Weeks 1 to 4
Weeks 5 to 12
Weeks 13 to 18
Week 19 and Beyond
Start with what you need and expand as coverage grows.