At Landis, we recognize that no two fulfillment programs are alike. Every client has unique business rules, service requirements, customer expectations, and operational priorities. That’s why our Order Management System (OMS) is designed to automate complex decision-making and streamline order processing from receipt to shipment.
Using intelligent workflow automation, every order is evaluated against a customized set of business rules that determine how it should be processed. These rules can be tailored to meet each client’s specific requirements, allowing Landis to increase processing speed, improve accuracy, and reduce manual intervention.
For example, priority orders can automatically be identified and released ahead of standard orders to ensure same-day processing and carrier pickup. By automating these decisions, Landis can focus on execution rather than manual review, resulting in faster turnaround times and a better customer experience.
Intelligent Order Processing Capabilities
1. Wave Management
Control when individual orders or groups of orders are released to the warehouse for fulfillment.
Example: Standard orders may be processed on designated production days, while rush orders and corporate requests are automatically prioritized for same-day fulfillment when received before established cutoff times.
2. Order Prioritization
Automatically prioritize orders based on customer type, sales channel, inventory availability, or business objectives.
Example: Retail customer orders can be processed ahead of wholesale orders, while consumer purchases may take priority over sample requests.
3. Backorder Management
Establish customized responses when inventory shortages occur.
Example: Consumer orders may ship available inventory with backordered items shipped later, while trade show orders may ship available products and automatically cancel unavailable items.
4. Approval Workflows
Require designated approvals before specific orders are released for fulfillment.
Example: Expedited shipping requests may require management authorization before processing.
5. Future Release & Ship Dates
Schedule orders for future fulfillment while ensuring on-time delivery.
Example: Product launch shipments can be strategically released based on destination and transit times to ensure simultaneous arrival at retail locations nationwide.
6. Automated Customer Notifications
Generate customized communications throughout the order lifecycle.
Example: Customers may automatically receive order confirmations, shipment notifications, backorder alerts, or payment-related communications based on predefined business rules.
7. Dynamic Shipping Selection
Automatically assign shipping methods based on order characteristics and delivery requirements.
Example: Standard orders may ship via ground service, while temperature-sensitive or perishable products are automatically upgraded to expedited delivery with signature confirmation.
8. Promotional & Supplemental Item Insertion
Automatically add marketing materials, promotional items, or product samples when qualifying criteria are met.
Example: Orders containing specific product lines may include brochures, coupons, product catalogs, or complimentary gifts.
9. Optimized Picking Strategies
Automate warehouse workflows by assigning the most efficient picking methodology based on order type and volume.
Example: High-volume consumer orders may utilize forward-pick and pick-pack workflows, while retail replenishment orders are fulfilled directly from bulk storage and prepared with retailer-specific labeling requirements.
The Landis Advantage
Our Order Management System enables Landis to automate complex fulfillment decisions without the need for custom programming. By leveraging intelligent workflows and configurable business rules, we increase order throughput, improve order accuracy, reduce labor-intensive processes, and provide clients with a scalable fulfillment solution that grows alongside their business.
The result is faster processing, greater operational efficiency, lower fulfillment costs, and a superior customer experience.