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Optimize warehouse layouts with living 3D, first-person models and real-time data
Allocate space and resources in real time as inventory and personnel change.
Track sensor data throughout the supply chain with shipment digital twins.
Integrate inventory and operational data fed by automated streams.
Algorithm provides metrics using sales and inventory data
Optimize storage and material flows
View empty locations and optimal placement
Worker productivity, warehouse layout changes
Synkrato co-founder Amin Sikander was recently interviewed for the Modern Materials Handling magazine column, The Big Picture.
Warehouses and fulfillment centers are increasingly automated, asset-intensive operations with multiple types of automation systems and robotics that need to work together to hit throughput goals. Consulting and assessments can identify likely solutions, but to get a solid prediction of what integrated systems can achieve, digital models and simulation are being widely used…
Article Excerpt Featuring Amin Sikander
One new vendor that is applying digital twin and simulation technology within a solution aimed at operations is Synkrato. The startup’s Cloud logistics software has five core components: digital twin, adaptive slotting, a mobile app builder, Internet-of-Things (IoT) tracking, and digital labeling. Amin Sikander, president of Synkrato, says the software’s use of simulation and the digital twin concept ties directly into slotting, to arrive at more effective slotting that adapts to changing demand and supply data coming from enterprise resource planning (ERP) systems.
“Our use of digital twin is really focused on smart logistics execution,” Sikander says. “It’s not meant to be a one-time simulation.”
Using Synkrato’s software, companies can build 3D renderings of their facilities, as well as tie into changing demand and supply signals from ERP, and with that digital twin, adjust slotting as needed and see the impact.
A key benefit of the software, adds Sikander, is to easily adapt slotting to reduce travel times by shortening pick paths. The software can also be used to determine what impact the deployment of a new conveyor, or a mobile robot system, or some additional rack for fast-moving inventory, will have in terms of travel time reduction and picking efficiencies.
“Those are the types of problems we are trying to solve,” says Sikander. “Our solution is meant to actively adapt your warehouse to changing demand and supply patterns to make it more efficient.”
In this eBook, you will learn:
Increase picking efficiency by up to
Reduce labor costs by up to
Optimize space by up to
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