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Markdown Optimization for Seasonal and Event-Driven Retail
In-Season Discounting
EOSS markdown optimization
SKU/Size-Level Discounting
Channel-specific discount optimization
Special Event Discounting
This case study reveals how Increff’s robust solutions are helping global brands not just keep up, but get ahead. First, discover how Increff revolutionized a leading Indian fashion retailer, helping them slash their buying cycle from a sluggish six months to a dynamic one month, enabling weekly fresh drops and unparalleled agility.
Then, learn how a world-renowned sports and lifestyle brand used Increff to power its rapid global expansion—from its initial partnership in India to a lightning-fast rollout at its European headquarters in just two months. This is more than just inventory management. It’s a look into the future of retail.
It’s almost impossible to sell deadstock after an EOSS sale. WRONG.
We, at Increff found a way. We recently helped a brand not only sell its excess stock, but do so profitably, while optimizing inventory health, and logistical costs. Want to know how?
Clear Aged Inventory With The Right Discount At The Right Time
- Adaptive Markdown and Discount Control
- Performance-Driven Discount Recommendations
- Flexible Business Rules and Guardrails
- Event-Based Markdown Scenarios
- Channel-Specific Markdown Optimization
Adaptive Discount Control
- Dynamic Discount Management: Suggests increasing or decreasing markdowns based on real-time performance and inventory health.
- Margin Protection: Improves margins on fast-moving products by preventing unnecessary discounting across seasonal categories.
- Elasticity-Based Pricing: Uses price elasticity to limit discounts and prevent wasted markdowns.
- Adaptive Promotion Control: Enables rapid rollback of discounts if sales don’t improve as expected.
Performance-Driven Discount Recommendations
- True ROS: Analyzes actual selling velocity without liquidation noise or seasonal promotional distortions.
- Ageing: Considers time since product launch and planned lifecycle to prioritize older inventory for timely clearance.
- Sell-through: Measures sell-through percentages to identify underperforming inventory requiring markdown attention.
- Size Set Health: Evaluates broken size sets that impact customer experience and merchandising effectiveness.
- Performance Benchmarks: Compares against category benchmarks to identify outliers requiring action through statistical pattern recognition.
- Custom Groupings: Creates attribute groups to compare similar products for consistent markdown strategies.
Flexible Business Rules and Guardrails
- Discount Targets: Aligns markdowns with company-level discount targets.
- Multi-level Configuration: Sets start levels, caps, and increments at category, brand, and style level.
- Automated Trigger System: Applies ROS cutoffs and sell-through benchmarks to trigger changes automatically.
- Style-level Overrides: Allows manual overrides for styles needing special handling.
- Flexible Discounting: Supports different discounting frequencies and guardrails across channels and stores.
- Business Adaptability: Covers varied business scenarios with customizable inputs and parameters.
Event-Based Markdown Scenarios
Channel-Specific Markdown Optimization
- Channel Strategy: Applies different markdown approaches for e-commerce versus physical retail locations based on channel-specific business constraints.
- SKU-Level Control: Enables SKU-level discounting for granular inventory management down to individual size and color combinations.
- Flexible Cadences: Supports daily, weekly, or monthly markdown cadences based on business needs and operational capabilities.
- Store Specific Discounting: Implements store-specific discounting based on local performance metrics and regional customer purchasing behaviors
- Online Integration: Integrates with brand.com and marketplaces for seamless implementation across digital channels without manual intervention
Plug and Play with our other
Merchandising Solutions
Allocation and Replenishment
Reduce loss of sales and overstocking due to unavailability, size cuts, and stock-outs by ensuring smart, data-driven allocation and replenishment
Markdown Optimization
Boost sales and margins by leveraging real-time style and stock data for targeted, data-driven discount suggestions
Regional Utilization
Fulfill local demand faster and reduce last mile delivery costs with optimized inventory distribution across all multi-warehouse and darkstore networks.
Co-Pilot
Improve over 4x operational efficiency with intelligent reports and visual dashboards, enabling exception-based decision making.
- Allocation and Replenishment
- Markdown Optimization
- Regional Utilization
- Co-Pilot