Markdown Recovery Studio

Why this exists

This Dedolytics case study is a synthetic demonstration built to show how we frame a markdown recovery problem without exposing live vendor names, store performance, or merchant planning data.

The Challenge

A mid-market retail operator needed a clearer weekly read on where margin was slipping through markdowns. Month-end recaps arrived too late, and category managers had no clean view of which store clusters, product lanes, and vendor groups were creating avoidable drag.

                Key Business Questions
                Where is margin at risk right now by category and store cluster?
Which markdown lanes are strategic, and which are just leakage?
How should merchant teams prioritize recovery action in the next 7 days?
Which vendor and product mixes are repeatedly driving exception volume?

            

The Solution

We designed a client-safe margin recovery studio that turns synthetic markdown activity into a weekly operating brief. The frame is simple: show exposure, isolate repeat patterns, and point the team to the next action instead of another spreadsheet.

Recovery overview

A board-level view of markdown exposure, trend direction, and the highest-value recovery pockets.

Category variance map

Synthetic category and subcategory movement showing where markdown behavior is drifting from the expected lane.

Store exception queue

A ranked short list of locations and items that need intervention first.

Vendor recovery tracker

A clean lane for supplier and product family patterns that keep resurfacing.

Buildable product preview

Margin Signal Preview

A more editorial preview board for merchant teams: part operating dashboard, part weekly decision sheet, built to feel like a real recovery room instead of a flat report.

Exposure$5.1M

Recoverable+690K

Exceptions32

Stores82

Merchant pressure map

Aisle drift / recovery curve / category signal

Heat strip

Next move

Trim markdown depth in aisle clusters 2 and 5.

Push the recovery conversation toward the few lanes with real margin lift before the next circular lands.

Recovery curve

Recovery language

What leadership sees next

Move slow markdown depth first. Avoid broad discounting. Keep the conversation focused on the few lanes with real recovery impact.

Exception queue

Store / vendor / pressure

Aisle cluster 212 stores+14%

Vendor group B8 items+9%

Seasonal endcaps5 stores+7%

Technical Frame

Data model

A synthetic fact table joins margin exposure, markdown events, and recovery outcomes to keep the dashboard useful without mirroring live retail data.

Key metrics

Markdown exposure
Recovery runway
Store exception count
Vendor repeat rate

Workflow output

Weekly merchant brief
Store follow-up queue
Vendor talking points
Category watchlist

Delivery mode

Built as a reusable concept system that can be translated into a live merchandising workflow once a client stack is in place.

The Result

$5.1MScenario volume

+690KRecoverable margin

32Live exceptions

4Decision views

We could show leadership exactly where the leak was without exposing a single live merchant number. That made the conversation easier and sharper.
Anonymous VP, Merchandising

Anonymous review

4.9/5

Client-ready without exposure

The concept feels specific enough to sell the work, but clean enough to share in a first meeting.

Anonymous portfolio review