SKU-level retail pricing optimization suggestions for merchandising teams who want to say goodbye to the hours spent in spreadsheets. Retailers around the world invest more than $1 trillion in their discounting and markdown programs (BCG). Stop leaving profit on the table and out-of-season inventory in the stockroom. It is time to add AI and optimize your in season promotions and end of season markdown.

A one size fits all markdown approach makes it difficult to get super targeted with their markdown strategy and risks leaving money on the table. But with our B2C retail pricing application, decisions are made using unique data set from across the business and externally. You can then enrich this with your specific business rules and guardrails.

Markdown and Promotions modules are built on Peak, an AI platform. It uses price elasticity and forecasting models to measure a product's change in demand in relation to a hypothetical change in its price, giving you SKU level markdown suggestions based on the metrics you want to maximize.

The first step is creating your AI-ready data set; here we need to ingest, transform and organize data (transactional, store, pricing, locational data etc) from across your entire company into Peak. Once your data set is ready, we create your centralized intelligence with the Markdown application to simulate the changes in demand with the applied markdowns, taking into account the metrics you want to maximize, to give you SKU level suggestions for any location or channel.