AI-Assisted Pricing Systems

Clean the Sky - Positive Eco Trends & Breakthroughs

Academy Sports + Outdoors Launches Its Dynamic Pricing Feature

Edited by Adam Harrie — May 11, 2026 — Business
This article was written with the assistance of AI.
Academy Sports + Outdoors expanded its AI-powered pricing system designed to automate price adjustments and markdowns across its sporting goods assortment, featuring machine learning models that analyze demand and inventory signals in real time. The rollout was positioned as an extension of the retailer’s ongoing investment in data-driven merchandising, with the system integrated into existing pricing workflows to support seasonal and clearance strategies. The platform refines price elasticity estimates and suggests markdown timing and depth while keeping human merchants involved in final approvals.

For consumers, the tool aims to deliver more consistent in-stock value and faster discounts on seasonal items, helping shoppers find competitive prices sooner. For the retail industry, the move reflects the broader trend of midmarket chains adopting AI to tighten margins and accelerate pricing decisions.

Image Credit: Shutterstock/Piotr Swat
AI tools for retail pricing and promotions
Helps gauge retailer interest in adopting AI for pricing and promo planning, plus which features drive platform selection.
1 / 3
When did your team last change prices using a spreadsheet?
2 / 3
If you were choosing a pricing tool, how likely to pick one that suggests price changes?
3 / 3
Which AI feature would most influence your choice of pricing software?

Trend Themes

  1. Real-time Dynamic Pricing — Dynamic algorithms that adjust prices continuously based on live demand and inventory signals enable retailers to capture short-term willingness to pay and reduce markdown losses.
  2. Human-in-the-loop Pricing — Augmented workflows that combine machine recommendations with merchant oversight preserve subjective assortment knowledge while scaling pricing decisions across large catalogs.
  3. Inventory Elasticity Forecasting — Advanced elasticity models that link inventory levels, seasonality and customer behavior provide finer-grained timing and depth predictions for markdowns and replenishment.

Industry Implications

  1. Retail Chains — Midmarket and big-box retailers stand to shift margin structures by embedding AI pricing into everyday merchandising, changing how promotions and clearance events are executed.
  2. Sports Apparel and Equipment — Category-specific demand patterns and seasonal peaks in sporting goods make this segment ripe for tailored dynamic pricing models that optimize sell-through and inventory turns.
  3. Pricing Software Providers — Vendors offering SaaS pricing platforms could disrupt legacy PLM and ERP integrations by delivering real-time elasticity estimation, automated markdown suggestions and API-first workflows.
7
Score
Popularity
Activity
Freshness