Documentation

Product Overview

Dakota WMS for Fulfillment Operations

High-Volume Order Processing at Scale

Dakota WMS powers fulfillment operations that ship thousands of orders daily. Our wave planning, batch picking, and carrier integration turn complex order flows into efficient warehouse execution.


Fulfillment Capabilities

Wave Planning

Group orders intelligently to maximize picker efficiency and meet carrier cutoffs. Dakota's wave planner considers:

  • Carrier pickup windows
  • Order priority and SLA
  • Zone and location proximity
  • Picker workload balancing
  • Truck departure sequences

Wave Options:

  • Manual wave creation
  • Scheduled automatic waves
  • Real-time waveless flow
  • Priority order acceleration

Flexible Pick Methods

Match your pick method to your order profile:

Method Best For
Single-order picking High-value, complex orders
Batch picking Multiple similar orders
Zone picking Large facilities with product zones
Cluster picking Multi-order cart workflows
Voice-directed Hands-free environments
RF scanning Verification at every step

Carrier Integration

Dakota connects to major carriers for rate shopping, label generation, and tracking:

  • Parcel: UPS, FedEx, USPS, DHL, regional carriers
  • LTL: YRC, Estes, Old Dominion, XPO, and more
  • TMS Integration: Connect to your transportation management system

Shipping Features:

  • Multi-carrier rate shopping
  • Compliant label generation
  • Tracking number capture
  • Manifest and end-of-day close
  • Return label generation

Multi-Channel Support

Order Sources

Dakota accepts orders from multiple channels through a single integration layer:

  • E-commerce platforms (Shopify, BigCommerce, Magento)
  • Marketplaces (Amazon, Walmart, eBay)
  • EDI from retail customers
  • B2B order portals
  • Manual entry

Channel-Specific Rules

Each channel can have different fulfillment rules:

  • Packing slip formats
  • Shipping method defaults
  • Gift message handling
  • Insert and promotional materials
  • Return label inclusion

Inventory Visibility

Real-Time Accuracy

Dakota updates inventory in real time as transactions occur. No batch processing delays.

  • Available to promise updates immediately
  • Backorder detection at allocation
  • Oversell prevention
  • Multi-location inventory pooling

Inventory Segmentation

Allocate inventory by channel, customer tier, or promotion:

  • Reserve stock for priority customers
  • Segment inventory for marketplace orders
  • Set aside promotional quantities
  • Manage pre-order allocations

Performance at Scale

Throughput

Dakota's IBM Power Systems infrastructure handles:

  • 100,000+ orders per day
  • Millions of inventory transactions
  • Hundreds of concurrent pickers
  • Sub-second response times

Peak Season Ready

When volume spikes during holidays or promotions, Dakota scales without degradation. Our customers have processed 5x normal volume during peak periods.


Integration Architecture

APIs

REST APIs provide real-time access to:

  • Order status and tracking
  • Inventory levels and availability
  • Shipment confirmation
  • Returns processing

Webhooks

Push notifications for key events:

  • Order shipped
  • Inventory threshold alerts
  • Backorder notifications
  • Return received

Standard Integrations

Pre-built connectors for:

  • ERP systems (SAP, Oracle, NetSuite, Dynamics)
  • E-commerce platforms
  • Marketplaces
  • Shipping carriers
  • Returns platforms

Why Fulfillment Operations Choose Dakota

Challenge Dakota Solution
Can't meet carrier cutoffs Wave planning optimized for pickup windows
Picking takes too long Batch and cluster picking reduce travel
Inventory oversells Real-time updates prevent allocation errors
Peak season crashes system IBM Power platform scales with demand
Too many manual touches Automation from order to ship

ROI Drivers

Labor Efficiency: Batch picking and optimized wave planning reduce picks per hour.

Shipping Savings: Rate shopping selects lowest-cost carrier meeting SLA.

Inventory Accuracy: Real-time updates eliminate oversells and stockouts.

Scalability: Handle growth without system replacement.


Implementation Timeline

Phase Duration Activities
Discovery 2 weeks Requirements, integration mapping
Configuration 4 weeks System setup, workflow design
Integration 4 weeks API connections, testing
Training 2 weeks Role-based user training
Go-Live 1 week Cutover and support

Typical implementation: 10-14 weeks from kickoff to live.


Contact

Ready to scale your fulfillment operation?

Email: sales@dakotawms.com Phone: 1-800-DAKOTA-WMS Web: www.dakotawms.com/fulfillment


Dakota WMS - Built for Fulfillment at Scale