The Challenge
Business Problem
E-commerce businesses lose revenue from stockouts and waste money on overstock. Manual inventory checks are infrequent and reactive rather than predictive.
The Approach
Solution Overview
Connect Shopify MCP Server with Slack and Google Sheets to monitor inventory levels, predict stockouts based on velocity, and auto-alert purchasing teams.
Step-by-Step
Implementation Steps
1
Track Inventory Levels
Poll Shopify inventory API for current stock levels across all products and locations.
2
Calculate Velocity
Compute sales velocity per product to predict days until stockout.
3
Generate Alerts
Alert purchasing team when products drop below reorder point.
async function checkInventory() {
const products = await shopify.listProducts({ fields: 'id,title,variants' });
for (const product of products) {
for (const variant of product.variants) {
const velocity = await calculateVelocity(variant.id);
const daysRemaining = variant.inventory_quantity / velocity.dailySales;
if (daysRemaining < 14) {
await slack.sendMessage({ channel: '#purchasing', text: `⚠️ ${product.title}: ${Math.round(daysRemaining)} days of stock remaining` });
}
}
}
}4
Auto-Generate POs
For critically low items, automatically draft purchase orders for supplier review.
Code
Code Examples
typescript
Velocity Calculator
async function calculateVelocity(variantId) {
const orders = await shopify.listOrders({ created_at_min: thirtyDaysAgo });
const unitsSold = orders.flatMap(o => o.line_items).filter(li => li.variant_id === variantId).reduce((sum, li) => sum + li.quantity, 0);
return { dailySales: unitsSold / 30, monthlySales: unitsSold };
}Overview
ComplexityEasy
Estimated Time~6 hours
Tools Used
Shopify MCP ServerSlack MCP ServerGoogle Sheets MCP Server
Industry
E-commerceRetail
ROI Metrics
Time Saved10 hours/week
Cost Reduction60% reduction in stockouts
Efficiency GainPredictive reordering