Advanced Retail Features - Powering Modern Commerce
Introduction
Beyond core POS functionality, iVendNext offers cutting-edge tools to optimize pricing, inventory, and customer engagement. This guide explores advanced features that give retailers a competitive edge—from AI-driven pricing to omnichannel fulfillment.
1. Dynamic Pricing & Promotions
A. Rule-Based Pricing
Set automated pricing adjustments under:
Home > Retail > Pricing Rules
Pro Tip: Use "First Expiring First Out" (FEFO) rules to clear soon-to-expire stock.
2. Omnichannel Fulfillment
A. Click-and-Collect
Customer orders online → selects "Pick Up In-Store"
Store staff:
Receives alert via POS notification
Prepares order with pick list
Marks as ready for collection
B. Inter-Store Transfers
Enable in Retail Settings > Use Inter-Store Transactions to:
Sell from Store A → Fulfill from Store B’s inventory
Track transfers with auto-generated stock entries
3. AI-Powered Tools
A. Smart Replenishment
AI forecasts demand based on:
Historical sales
Seasonality
Local events
Auto-generates purchase orders when stock dips below threshold
B. Customer Insights
Purchase history analysis → Personalized recommendations
Churn prediction → Target at-risk customers with offers
4. Multi-Store Management
Centralized Control
Global Settings: Apply pricing/tax rules across all locations
Roll-Up Reporting: Compare performance by store/region
Store-Specific Customizations
Localized promotions (e.g., "Miami Summer Sale")
Inventory Reservations → Prevent overselling hot items
5. API Integrations
Key Connected Systems
Implementation Tip: Use iVendNext’s REST API for custom workflows.6. Real-World Applications
Scenario 1: Grocery Chain
AI Replenishment: Reduces fresh produce waste by 22%
Dynamic Pricing: Automates discounting for perishables
Scenario 2: Electronics Retailer
Click-and-Collect: Handles 40% of online orders in-store
Inter-Store Transfers: Fulfills sold-out items from nearby locations
7. Troubleshooting Advanced Features
8. Best Practices
Test Thoroughly: Pilot new features at one store before rolling out chain-wide
Data Hygiene: Regularly clean customer/product databases for AI accuracy
Staff Training: Conduct quarterly workshops on advanced tools
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