Improve Fulfillment Throughput by 4X for Store Replenishment

Stores account for more than 80% of retail sales and consumer expectations are forcing retailers to rethink how they replenish stores. Retailers need to offer more products and reduce stockouts while minimizing inventory carrying costs.

To do this, distribution operations are processing more:

• Break pack store replenishment orders
• Merchant allocation orders
• Buy-online-pickup-in-store orders
• Split-case cross docking

All of which are considerably more labor intensive than traditional case-based replenishment.

Join us to learn how retailers and their 3PL partners can implement a better way to fulfill less-than-case orders that is not completely dependent on hard-to-find labor.

What typically takes 4 operators working in a traditional pick module fulfilling break pack orders, can now be done with 1 operator using AI-enabled robotic automation systems. Fully robotic product sortation systems can completely automate item-level store replenishment order picking, sorting, and packing when labor is just not an option.

What you will learn:

• How to examine before and after break pack processing approaches
• How robotic automation integrates with existing workflows and processes
• How to assess the metrics associated with new automation systems for less-than-case order processing
• What real systems in action look like

Speakers

Pete Blair VP of Product Marketing Berkshire Grey

Noah Maynard Principal Solutions Architect Berkshire Grey

Moderator: Ben Ames Senior Editor DC Velocity