When your data lives in a number of locations, activating it and making it accessible to you and your team is essential to making smarter decisions faster.
Hiring people for every new problem in your supply chain isn’t sustainable. Put your data to work any way you can think of to significantly reduce the time, risk, and expense it takes to maintain manual, error-prone workflows.
Use historical sales and S&OP forecasts to consistently predict replenishment needs.
Calculate cost of goods sold by creating Flows using whatever data you need, like freight costs, manufacturing, and raw materials.
Understand when you’ve been overcharged on shipping freight costs, recover overages, and score your logistics partners.
Let your team know about SKUs that are backordered and customers that are affected.
Apply logic to understand which vendors to invoice and get visibility into how charges are determined.
Build and share data visualizations that show the output of your workflows to get everyone on the same page. Report on data from across systems and spreadsheets in one intuitive platform.
Parabola has been our light in the dark. We went from 0 to 100 in a week. No code needed, no developer or data scientist hired, just quick access to all of the information we required.
–– Robert, VP Growth @ UMZU
I'm a marketer and I love the empowerment that Parabola provides me to be my own analyst and developer.
–– Reid, Head of Digital Marketing @ Volcom
Smalls created a Parabola Flow that tracks inventory across 3PLs, encompassing data from three different warehouses as well as incoming purchase orders and demand data.
Automating their inventory reports in Parabola has resulted in better 3PL planning and communication, increased visibility into order routing and replenishment, and more accurate inventory planning.
See how marketing, customer success, and other ecommerce teams can take control of their own solutions.
Merge data across systems and streamline your chargeback program.
Take the manual work out of interpreting less structured data sources like PDFs by parsing them with AI.
Gain visibility into spend and better understand cost distribution to focus efforts on cost reduction.
Pull marketing spend data from various platforms to calculate returns and optimize your paid marketing strategies.
Pull transactions across distribution channels to generate ledger entries and reconcile reports.
Sync data between disparate data sources and eliminate manual workaround processes.
