# Retail Pos Systems > Use when managing retail operations and POS systems. - Skill: `loopyluci/retail-pos-systems` (Agent Skill) - Install (CLI): `npx skillmds@latest add loopyluci/retail-pos-systems` - Raw SKILL.md: https://api.skillmd.com/api/skills/loopyluci/retail-pos-systems/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - License: MIT - Author: LoopyLuci (https://skillmd.com/u/loopyluci) - Updated: 2026-09-08 - Page: https://skillmd.com/skills/loopyluci/retail-pos-systems --- # Retail and Point-of-Sale Systems Managing retail store operations, point-of-sale systems, inventory, omnichannel fulfillment, and retail analytics. ## When to Use - Setting up a retail store POS system - Managing multi-location retail inventory - Implementing omnichannel (online + in-store) operations - Training staff on POS workflows - Analyzing retail performance metrics ## POS System Comparison ```python POS_SYSTEMS = { 'square': { 'best_for': 'Small business, pop-ups, food trucks, mobile', 'hardware_cost': '$0-300', 'software_cost': '$0-60/mo', 'processing': '2.6% + $0.10', 'features': ['iPad POS', 'Inventory', 'Employee mgmt', 'eCommerce integration'], }, 'shopify_pos': { 'best_for': 'Existing Shopify stores, omnichannel retail', 'hardware_cost': '$0-300', 'software_cost': '$89/mo (included in Shopify)', 'processing': '2.4% + $0.30 (Shopify Payments)', 'features': ['Native Shopify sync', 'Unified inventory', 'Buy online pickup in-store', 'POS Go mobile'], }, 'lightspeed': { 'best_for': 'Mid-market, apparel, restaurants, golf', 'hardware_cost': '$0-500', 'software_cost': '$89-269/mo', 'processing': '2.4% + $0.15', 'features': ['Advanced inventory', 'CRM built-in', 'Reporting', 'Multi-location'], }, 'clover': { 'best_for': 'Restaurants, full-service retail', 'hardware_cost': '$100-1500', 'software_cost': '$14.95-134.95/mo', 'processing': 'Variable (depends on processor)', 'features': ['All-in-one hardware', 'Payment processing', 'Employee management', 'Order ahead'], }, 'vend_by_lightspeed': { 'best_for': 'Independent retailers, multi-store', 'hardware_cost': '$0-500', 'software_cost': '$119-229/mo', 'processing': '2.4% + $0.15', 'features': ['Inventory mgmt', 'CRM', 'Customer loyalty', 'Purchase orders'], }, } def recommend_pos(business_type: str, has_ecommerce: bool, budget: str) -> str: if business_type in ('restaurant', 'cafe', 'food'): return 'Clover' if has_ecommerce: return 'Shopify POS' if budget == 'low': return 'Square' return 'Lightspeed' ``` ## Inventory Management ```python from typing import Dict, List from datetime import datetime, timedelta import json class RetailInventory: """Manage multi-location retail inventory.""" def __init__(self): self.products = {} self.locations = {} self.transfers = [] def add_location(self, name: str, address: str, is_warehouse: bool = False) -> str: import uuid lid = str(uuid.uuid4())[:8] self.locations[lid] = { 'id': lid, 'name': name, 'address': address, 'type': 'warehouse' if is_warehouse else 'store', 'created': datetime.now().isoformat(), } return lid def add_product(self, sku: str, name: str, cost: float, price: float, category: str = '') -> str: import uuid pid = str(uuid.uuid4())[:8] self.products[pid] = { 'id': pid, 'sku': sku, 'name': name, 'cost': cost, 'price': price, 'margin': round((price-cost)/price*100, 1), 'category': category, 'location_stock': {}, } return pid def receive_stock(self, product_id: str, location_id: str, qty: int): if product_id in self.products: loc = self.products[product_id]['location_stock'] loc[location_id] = loc.get(location_id, 0) + qty def transfer_stock(self, product_id: str, from_loc: str, to_loc: str, qty: int): stock = self.products[product_id]['location_stock'] if stock.get(from_loc, 0) >= qty: stock[from_loc] = stock.get(from_loc, 0) - qty stock[to_loc] = stock.get(to_loc, 0) + qty self.transfers.append({ 'product_id': product_id, 'from': from_loc, 'to': to_loc, 'qty': qty, 'date': datetime.now().isoformat(), }) return True return False def get_low_stock_alerts(self, threshold: int = 5) -> List[Dict]: alerts = [] for pid, prod in self.products.items(): total = sum(prod['location_stock'].values()) if 0 < total <= threshold: alerts.append({ 'sku': prod['sku'], 'name': prod['name'], 'total_stock': total, 'locations': prod['location_stock'], }) elif total == 0: alerts.append({ 'sku': prod['sku'], 'name': prod['name'], 'total_stock': 0, 'status': 'OUT_OF_STOCK', }) return alerts ``` ## Retail KPIs ```python RETAIL_KPIS = { 'same_store_sales': 'YoY sales growth for stores open >12 months', 'sales_per_sqft': 'Revenue / total square footage', 'inventory_turnover': 'COGS / average inventory value', 'sell_through_rate': 'Units sold / units received (%)', 'shrinkage': 'Inventory loss from theft/error (% of sales)', 'conversion_rate': 'Transactions / foot traffic (%)', 'avg_transaction_value': 'Total revenue / number of transactions', 'foot_traffic': 'Number of people entering the store', 'capture_rate': 'Customers who pass by vs enter (%)', 'employee_utilization': 'Productive hours / paid hours (%)', 'omni_channel_rate': 'Online orders fulfilled by store (%)', } def report_retail_performance(data: Dict) -> str: report = "🏪 Retail Performance Report\n" + "=" * 40 + "\n" report += f"Same-Store Sales Growth: {data.get('same_store_sales', 'N/A')}%\n" report += f"Sales/sqft: ${data.get('sales_per_sqft', 0):.2f}\n" report += f"Conversion Rate: {data.get('conversion_rate', 0):.1f}%\n" report += f"Avg Transaction: ${data.get('avg_transaction_value', 0):.2f}\n" report += f"Shrinkage: {data.get('shrinkage', 0):.1f}%\n" return report ``` ## Common Pitfalls 1. **Online vs in-store inventory not synced** — selling something in-store that's already sold online 2. **Not auditing cycle counts** — system inventory drifts from physical; cycle count weekly 3. **Wrong POS for business type** — restaurant POS won't work for apparel; choose specialized 4. **Ignoring omnichannel customers** — customers expect buy-online-pick-up-in-store; enable it 5. **No staff training on POS** — slow checkout frustrates customers; train thoroughly 6. **Processing fee surprises** — POS processing fees add up; negotiate or compare rates ## Verification Checklist - [ ] POS system selected for business type - [ ] Hardware ordered and configured - [ ] Products loaded into POS (SKU, price, barcode) - [ ] Inventory synced across locations - [ ] Payment processing configured and tested - [ ] Employee/PIN setup for staff - [ ] Omnichannel features enabled (BOPIS, ship-from-store) - [ ] Reporting dashboard configured - [ ] Backup procedures for POS downtime ## See Also - ecommerce-platform-management — online store integration - business-metrics-kpis — retail KPIs - crm-sales-pipeline — customer data integration - inventory-management — deeper inventory patterns