Price optimization and markdowns

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

1. 1

   Trigger

   Initiate weekly performance analysis

   Weekly scheduled trigger activates to begin comprehensive product performance evaluation. This starts the automated price optimization cycle.

   n8n Scheduler
2. 2

   Action

   Extract sales and inventory data

   Pulls current inventory levels, sales velocity, profit margins, and competitor pricing data from multiple retail systems. Consolidates data for analysis.

   Shopify POSLightspeedRetailNext
3. 3

   Action

   Calculate performance metrics

   Analyzes inventory turnover rates, days of supply, profit margins, and identifies slow-moving versus fast-moving products. Generates performance scores for each SKU.

   Springboard RetailRetailNext
4. 4

   Decision

   Determine pricing strategy category

   Categorizes products into price increase candidates (high demand, low stock), markdown candidates (slow movers, excess inventory), or maintain current pricing based on performance metrics.

   Springboard Retail
5. 5

   Action

   Generate optimized pricing recommendations

   Creates specific price adjustments and markdown percentages for each product category. Calculates expected impact on margins and inventory turnover.

   Springboard RetailVend
6. 6

   Action

   Apply approved price changes

   Automatically updates product prices across all sales channels and POS systems. Implements markdown schedules and promotional pricing.

   Shopify POSLightspeedSquareVend
7. 7

   Output

   Generate pricing optimization report

   Produces comprehensive report showing all price changes made, expected financial impact, and performance tracking metrics. Sends alerts for manual review items.

   RetailNextSpringboard Retail

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