Data-Driven Q4 Planning Identifies $200K in Avoidable Inventory Spend

THE CHALLENGE

A high-volume print-on-demand and apparel fulfillment company generates approximately 75% of its revenue in Q4. Entering peak season with the right inventory is critical: too little stock puts customer orders and service commitments at risk, while overbuying ties up cash in thousands of size, color, and style combinations.

The company’s previous planning process relied heavily on spreadsheets, employee experience, and a blanket seasonal multiplier. This often-overstated demand for slow-moving products while leaving critical SKUs exposed. Product substitutions, discontinued styles, changing customer programs, and unpredictable supplier availability added further complexity.

THE SOLUTION

Pines Optimization led the company through multiple demand-planning cycles, combining statistical analysis with operational knowledge.

The forecast used:

• 18 months of SKU-level demand history

• A blend weighted 75% toward the most recent year-over-year trend and 25% toward prior Q4 seasonality

• Average demand, standard deviation, and demand variability

• A 99% target service level

• Confirmed supplier lead times plus a seven-day risk buffer

• Customer transitions, substitutions, discontinued products, and supplier constraints

Pines replaced the blanket multiplier with SKU-specific forecasts and guardrails for extreme changes. Scenario planning was used to test the financial impact of different assumptions before purchase orders were placed.

The approved logic was then translated into approximately 2,330 replenishment rules in the company’s inventory system.