Domo Logistics to Measurably Drive Supply Chain Improvements

By Ryan Wilander / Consultant

July 15, 2022

Blog

Reading Time: 3 minutes

Supply chain logistics are crucial to understand, visualize, and optimize so your business can maximize efficiency- that’s where Domo logistics shine. Most organizations’ supply chain logistics are spread across multiple data sources and systems, causing data integrity, reliability, and reporting issues. This makes it difficult to find hidden efficiencies essential for continuous improvement.

Use Domo Logistics to Centralize Data

Converting disparate systems to a new single system like an ERP is very costly and time-consuming. In many cases, it often doesn’t even save time in surfacing insights. This is where Domo comes in. Domo logistics can centralize supply chain logistics that allow organizations to connect, visualize, and verify all relevant data in time to make an actual impact.

Domo logistics platform used to optimize supply chain logistics
The ideal platform to improve supply chain logistics (Source: Domo)
Integrate Supply Chain Logistics Datasources With Domo Logistics

All companies that use supply chain logistics or provide those services to other organizations must integrate disparate data (such as weather, GPS, sales, and operations) to provide reports that drive business decisions. Unfortunately, many of these companies have a hard time finding a system that can reliably integrate and report across all of these sources. This results in significant time investments to develop custom and proprietary solutions that combine data ahead of time to leverage third-party analytics systems.

These custom solutions are often costly, demanding more and more resources as the project progresses. Additionally, the overall time and financial investment is difficult to estimate due to the natural feature and code sprawl of custom projects.

With Domo’s unique focus on ease of use and time to value, it can more efficiently connect and combine over 1,000 data sources, including BigQuery, Snowflake, SQL databases, Redshift, JSON, and more. Once all sources are connected, they can be transformed and integrated using Domo’s built-in ETL tools.

Get Powerful Analytics Using Domo Logistics

Once all data sources are properly integrated and leveraging Domo’s massively scaling underlying MPP data warehouse, you can easily use Domo to create real-time, historical, and predictive analytics. Since logistics companies typically use a combination of weather, operational, and economic data to predict market direction, Domo’s predictive analytics capabilities further enable predictive logistics and supply chain logistics use cases more quickly and easily.

Supply Chain Logistics Example Use Case

Domo also helps drive answers to mainstream business questions. Below is a logistics supply chain use case that looks at next week’s weather, cost of travel, and supply chain logistics data to determine the best time to move products from one warehouse to another.

Step 1:

Connect to weather data: A common weather data provider is WeatherSource. Conveniently, Domo has a built-in connector that’s able to access the provider by using the API Key. Once connected, your weekly and daily forecast data is now ready to use in a visual.

Step 2:

Connect to cost-of-shipment data: You might want to understand the total cost of shipments, including fuel price, shipment weight, employee costs, and trip distances. All of these are commonly gathered and stored in various systems that can be accessed with pre-built connectors or even more directly using Domo workbench.

Step 3:

Connect to fleet management data: You can easily set up pre-built connectors from an SQL database, Excel, or a common fleet management system like IntelliShift. Now that you have weather, costs, and fleet data in Domo, there’s just one more data source to connect to.

Step 4:

Connect to GPS data: GPS data provides raw data needed to calculate distance, trip time, and real-time reroute data. Whether you’re using an existing connector or Domo workbench, connecting GPS data with Domo is fast and easy.

Step 5:

Integrate and analyze data: With all of the above datasets available in Domo, you can now perform deep and valuable analyses, including total cost calculations, which are an aggregation of miles/pound, employee compensation, and miles/gallon.

Combining this data allows organizations to surface critical supply chain logistics information that would be inaccessible or incredibly costly to access in most other contexts.

Drive Insight With Domo Logistics Visualizations

To drive these valuable insights across the organization, you can use powerful Domo dashboards that provide insightful and unique visualizations. You can even customize your dashboard by selecting an optimal dashboard background, ideal color rules, and more. Most importantly, once you’ve connected and integrated all relevant data sources, you’ll be able to create valuable analytics from multiple data sources on a single dashboard.

Domo logistics dashboards make it easy to access and manipulate raw data as desired, using fast drill down and aggregated data to see rolled-up views that are calculated across multiple data sources. For example, you can create historical visuals that display average travel delay time (using GPS data), and times of poor driving conditions due to adverse weather (using weather data). As another example, you can determine overhead costs by date, location, shipment type, weather type, and even employee.

Conclusion

Logistics, supply chain logistics included, are often fragmented across many systems. That’s why the true power of Domo logistics is its ability to become the one source of truth for all relevant data. Domo can also be used as a platform where the whole business can answer critical questions that drive the fundamentals of success and uncover hidden efficiences.


Graphable delivers insightful graph database (e.g. Neo4j consulting) / machine learning (ml) / natural language processing (nlp) projects as well as graph and Domo consulting for BI/analytics, with measurable impact. We are known for operating ethically, communicating well, and delivering on-time. With hundreds of successful projects across most industries, we thrive in the most challenging data integration and data science contexts, driving analytics success.

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We are known for operating ethically, communicating well, and delivering on-time. With hundreds of successful projects across most industries, we thrive in the most challenging data integration and data science contexts, driving analytics success.
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