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Merchmanager — Andrus Logistics

Location

Global

Client

Andrus Logistics is a well-known and respected 3rd-party-logistics company located in the western US. DataArt was engaged by Andrus Logistics to develop its warehouse system. Later the project became a separate company called Merchmanager.

Business Challenge

Managing and automating warehouses can be a challenging task. Once inventory approaches millions of items, several questions are raised regarding process optimization, audit, labor costs, lost items, and unnecessary operating expenses. And these are only a few of the issues a typical warehouse faces.

All inventory tracking, forecasting and analysis should happen in real time, so data management becomes a challenge as well. Merchmanager’s proposed architecture needed to support real time analysis of inventory.

And obviously, the faster inventory is handled the more the company saves on operating expenses. The process should be automated, and the automation should be fast enough to handle millions of inventory items in a reasonable timeframe, making supply chain data analytics crucial to improving operational efficiency.

As a result, the business requirements of the project were divided into the following groups:
  • Data management
  • Automation
  • Integration

Meeting the Challenge

Data Management

The solution was designed according to the modern lambda architecture framework, implementing both batch and streaming data processing simultaneously. This approach provides real-time access and analysis for the inventory state and delivers insights through supply chain data analytics based on custom inventory history reports.

To meet the needs of scalability and fault-tolerant data processing, data warehouse solutions were integrated, leveraging cloud-based technologies for high availability and disaster recovery.

Big Data technologies were introduced as a part of the lambda architecture (e.g., Cassandra, Apache Spark, Spark Streaming, and Apache Kafka) to support real-time inventory processing for huge warehouses operating with millions of inventory items.

The backend is cloud-based, allowing flexibility for the business, making it possible to respond to business demands by scaling up or down cloud capacity, and introducing disaster recovery, ensuring the system is operational 24×7.

Merchmanager’s architecture makes it possible to manage and process data for million-item inventories. The largest inventory handled was about 16 million products.

Automation

RFID technology is used as an automated tracking solution. This technology makes it possible to track items quickly. It was chosen for the following reasons:

RFID tags don’t have to be visible to be scanned
Scanning distance is flexible
It can be used to locate items by regulating an antenna’s power

RFID Readers

A mobile device and a handheld RFID scanner communicate with each other using Bluetooth.

There are several RFID readers supported at the moment (e.g., TSL 1128, TSL 1166). The solution architecture makes it possible to add new types of supported devices to the system easily.

RFID Readers. DataArt Case Study: Merchmanager — Andrus Logistics

Warehouse Automation

RFID hand readers are not powerful enough to scan a several million-item inventory in a reasonable time. Dock Door and Forklift Readers (SLS RFID Solutions) can be used to automate the warehouse.

Merchmanager uses the SLS Listening Service to work with the fixed RFID readers.

After items are scanned, all inventory data is ingested and processed by Merchmanager.

Warehouse Automation. DataArt Case Study: Merchmanager — Andrus Logistics

Automated Pick Lines

DataArt implemented a solution that makes it possible to verify orders with handheld RFID readers.

The solution can be installed on the manual pick line terminals. Implementation of fully automated pick lines required DataArt to handle the following tasks:

  • Providing Order Flow
  • Integration with Mozula to implement the packing service
  • Integration with UPS to provide small package shipping
  • Printing discrepancy reports for failed order boxes
  • Order verification by box to fix problems with failed orders (Our mobile app with Handheld RFID reader)
  • Printing missing RFID tags

Integration

DataArt enabled seamless integration with Big Commerce and Quickbooks platforms, making RFID Inventory Management interoperable with the existing systems.

Integration. DataArt Case Study: Merchmanager — Andrus Logistics

The flexible architecture also supports integration with additional e-commerce platforms (MerchManage’s plans integration with Retail Pro), further extending the reach of MerchManage’s data warehouse solutions.

Business Benefits

The solution provides a robust platform for automation, inventory tracking, data processing, and warehouse management while offering advanced supply chain data analytics capabilities.

Users enjoy the following benefits:

  • Decreased operating expenses for warehouses
  • Space efficiency
  • Real-time inventory tracking, analytics, and forecasting powered by data warehouse solutions
  • Integration with third-party e-commerce platforms
  • Support for RFID hardware

The combination of data warehouse solutions and advanced supply chain data analytics ensures that Merchmanager delivers unparalleled efficiency and accuracy, setting a new standard for warehouse automation and data management.

Technology

Cassandra
Spark Streaming and Spark Batching
Scala
Kafka
MS.NET Framework 4.5
MS SQL Server 2012
Entity Framework 5
ASP.NET MVC 4
jQuery & jQuery UI
AJAX
ASP.NET MVC Web API
Android SDK
iPhone SDK
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