The Parker Avery Group

Markdown Analytics Intelligence

Utilizing our cutting-edge AI/ML demand platform, we produce a dynamic demand signal that is the heart of our markdown analtics offering.

The ability to predict and react quickly to consumer demand is essential for setting the best retail selling price that optimizes both potential revenue and profit and keeps your inventory moving.

One of Parker Avery's innovative “results as a service” offerings, our dynamic analytics demand signal adapts quickly to changing trends and promotional activity.

Our approach allows our clients to maximize time to value while minimizing implementation costs in as few as 8 weeks.

Additionally, our team’s extensive retail and consumer goods industry expertise enables us to holistically integrate these analytic insights into your enterprise’s end-to-end merchandising process.

Markdown Optimization

Our offering simultaneously optimizes margin and revenue while taking into account a variety of pricing rules and allowing for collections.

Pricing Performance Insights

We provide performance metrics designed by pricing experts who spent their career in retail, resulting in a workflow that provides insight into the markdown recommendations.

Sophisticated Demand Platform

The underlying forecasts and elasticities are produced using a next generation dynamic aggregation algorithm, cutting edge demand driver elasticity modeling and machine learning based disaggregation.

Why choose Parker Avery's Markdown Analytics Intelligence?

Let's look at some demonstrated improvements using markdown optimization analytics:

Improved Revenue
Improved Margin
Improved Sell Through

What do you get?

We package our Markdown Analytics Intelligence services to best suit your needs, with outputs and results in 8 to 14 weeks from initial data load. This can include:

  • Monthly analysis report of high / low sellers relative to established out-date
  • Price elasticity coefficients
  • Markdown candidate recommendations
  • Opportunity cost estimations
  • Process design to standardize forecast usage
  • Training and rollout support to ensure effective execution
  • Integration of forecast and markdown recommendations into existing pricing / reporting tools
  • Change and sustainment workshops
  • Communication plan and execution

Ready to get started?