Recovering $2.1M in Retail Margin Leakage

We helped a US-based multi-category retailer replace manual pricing decisions with an AI-driven pricing intelligence platform, eliminating discount leakage, improving promotional ROI, and unlocking SKU-level margin opportunities across 4 regions.

Talk to us

Mid-Market Retailer Competing on Price at Scale

A $620M+ US retailer operating 85+ stores nationwide, managing 12,000+ SKUs across electronics, apparel, home & garden, sports, and F&B. The business competes on price and promotion intensity across regions, serving a mix of price-sensitive and brand-loyal customers through both physical stores and e-commerce, driving constant pressure on margin, pricing accuracy, and promotional effectiveness.

+18%

Promotional ROI through data-driven, targeted discounting

34%

Faster pricing decisions, shifting from weekly reviews to near real-time action

+4.2

Pp gross margin improvement in top 3 underperforming categories

$2.1M

Margin recovered by eliminating discount leakage and correcting underpriced SKUs

Manual Pricing Creating Invisible Margin Erosion

The retailer struggled with a pricing function that was reactive, siloed, and largely manual, creating margin erosion that remained invisible until quarterly reviews.

Spreadsheet-dependent pricing workflows

Category managers relied on Excel models and gut-feel adjustments, unable to process demand elasticity, competitor signals, and inventory position simultaneously.

Uncontrolled discount leakage

Promotional discounts were applied uniformly across regions and categories with no visibility into which promotions drove real uplift versus pure margin erosion.

Delayed competitive response

Competitor price movements were tracked manually through weekly audits, resulting in 5-10 day response lag on critical pricing adjustments.

No SKU-level margin visibility

Leadership could see category-level P&L but had no way to identify which individual SKUs were underpriced relative to demand or leaking value through excessive markdowns.

Disconnected commercial functions

Pricing, promotions, merchandising, and inventory teams operated in separate workflows, making cross-functional margin optimization impossible.

Inconsistent regional pricing

Regional stores applied pricing overrides without centralized governance, creating price image inconsistencies and untracked margin loss.

End-to-End Pricing Intelligence Platform Delivered

We delivered PricePulse, a role-based retail pricing optimization platform that connected pricing, promotions, demand signals, inventory position, and competitive intelligence into a single decisioning layer:

Executive pricing dashboard

A command-center view surfacing total value at risk from unactioned pricing opportunities, margin performance by category and region, and weekly revenue-vs-margin trend analysis with heatmap visualization.

AI-powered pricing workbench

SKU-level pricing recommendations with confidence scores, demand elasticity signals, and expected margin lift, enabling category managers to approve, pilot, or dismiss actions with one click.

Promotion effectiveness analytics

Per-promotion ROI tracking with discount depth analysis, revenue lift measurement, and margin impact quantification, replacing gut-driven promotional calendars with data-backed strategies.

Scenario simulation engine

A what-if pricing modeler allowing teams to test price changes by SKU, region, and time window, projecting revenue, margin, and demand response before execution.

Opportunity & action center

A prioritized decision queue surfacing critical pricing alerts by severity, estimated weekly loss, and recommended action, ensuring the highest-impact decisions are made first.

No items found.