is the average ROI supply chain and logistics companies see on their data investments

What if your data could…

Driving More than Products with Pragmatic Data Strategies
130%
46%
of supply chain and logistic organizations need to centralize on a primary cloud platform this year
45%
of data goals were left unachieved by supply chain and logistics businesses last year
Markets Our Clients Are Redefining
The retail industry involves selling goods directly to consumers through physical and digital channels. A strong data strategy is crucial for understanding consumer behavior, optimizing inventory, personalizing marketing, and improving customer experience, all of which drive sales and competitive advantage in a fast-paced market.


The logistics sector excels in implementing AI-driven solutions to optimize routes, manage inventory, and streamline supply chains. However, it frequently neglects the foundational step of modernizing data infrastructure by centralizing enterprise data in the cloud. This oversight limits the sector’s ability to scale operations and leverage real-time analytics, which are crucial for maintaining efficiency and staying competitive in a data-driven market.


In manufacturing, there is a strong emphasis on automating production lines and incorporating AI for predictive maintenance and quality control. Despite these advancements, many manufacturers still rely on outdated data systems and fail to consolidate their data in the cloud. This gap in data modernization impedes the ability to conduct comprehensive data analysis and integrate cutting-edge AI technologies, ultimately affecting productivity and innovation.

The Consumer Packaged Goods industry encompasses the production and distribution of everyday-use products. As the logistical puzzle of supply and demand grows more and more intricate by the day, CPG businesses need a dependable data ecosystem that helps them understand changing consumer behaviors, personalize their marketing campaigns, bolster online sales, and drive efficiency across global supply chains.


The transportation industry encompasses the movement of goods and people via road, rail, air, and sea. A modern data stack, integrating real-time analytics and the latest and greatest in machine learning or AI technology, empowers transportation leaders with enhanced route optimization, sensitive and accurate predictive maintenance, and an improved passenger experience.

The real estate industry thrives on seamless, personalized experiences. A modern data stack, featuring advanced tools, skilled professionals, and innovative technologies, enhances decision-making, customer insights, and operational efficiency. This integration drives targeted marketing, optimized pricing, and superior customer service, ultimately boosting the success and competitiveness of your business.


The Right Mix of Industry Experience and Modern Data Talent
Whether you’re looking to break down data silos created by a reliance on legacy, multi-layered WMS/OMS systems, drive pricing and risk assessment with insights from client and 3rd party data, harmonize your data for more sophisticated forecasting, or optimize your labor model with consolidated, accurate, and real-time SLA insights, we have the track record and data talent to guide you on your path to innovation while getting stronger returns on your data investments.






The Data Innovation Journey
The Data Innovation Journey Calculator is a tool that helps you assess the state of your data stack across 5 transformational capabilities and 4 stages of maturity.
The output provides you with a pragmatic roadmap you can use to chart a course to modernization and beyond.
We Don’t Just Drive, We Accelerate
When we see our clients regularly come up against similar challenges, we follow that pattern to the source—building industry-specific Solutions and Accelerators that let you migrate, model, manage, and monetize your data faster than ever before.
Industry Insights
