Data from multiple data sources including the product catalog (ERP or any other backend operational system) is fed into the platform using our unique set of API’s.
Data is then processed through the pricing engine using the customer’s unique pricing strategies, set in the platform.
Once a pricing recommendation is accepted an update is sent back to the backend system to be delivered across all sales channels.
The Platform allows flexible setting of pricing strategies based on the customer’s own business goals.
The Platform offers full operational, management & audit capabilities through the process.
The platform can integrate with any back end system through the QL REST API or using SFTP Files. The customer product structure as designed in the ERP System will be carried over to the pricing engine and will be enhanced and fed back to the ERP as needed.
Users can define and implement hundreds of predefined rules and constraints to limit pricing flexibility based on their overall strategy and approach.
Users can use Python code to define rules & strategies based on custom functions and self-deploy AI to price optimization. The open platform allows users to build (in Python) any pricing logic, pricing rules or custom AI pricing proprietary to the customer.
The platform enables retailers to optimize their pricing based on proprietary AI algorithms built into the platform. Using machine learning and reinforcement learning models the platform produces optimized pricing recommendations.
Multi channel/Omni channel (across online/offline and geographies) can be managed from the same log in. Pricing recommendations on one channel can affect pricing across channels . The omnichannel platform allows retailers to offer their customers the most accurate and optimized pricing experience, regardless of the sales channel.
Designed to help retailers build, automate and optimize next generation multichannel pricing strategies Bring your own data science into the equation. Use Quicklizard’s comprehensive set of APIs to enable your internal data science team to develop, train and test multiple pricing models, with full integration to all platform capabilities.
Built into the platform are user management, monitoring and auditing capabilities as well as roll back options and versioning on the open platform. The platform offers users an intuitive and clear UI, approval processes as well as views that help perform daily tasks as well as gain insights.