June 11, 2020
Complex supply chains tend to have data stored in multiple locations, especially if they’re using several software systems or technology platforms. Disparate data is time-consuming to track down and difficult to consolidate, with the potential that the data might corrupt in the collection process. But without that data, you can’t get the holistic view of supply chain spend and trends that you need to make business optimization decisions.
The solution? Collecting all your supply chain data in the Stord platform. Stord’s integrative capabilities allow you to seamlessly and quickly connect your ERP and any WMSs in your network to the Stord platform, so data can automatically flow between systems. The canonical data layer in our integrative layer cleans the data to and from those systems, so you don’t need to manually gather and translate it from multiple sources.
In our platform and with the support of our data science team, see:
Inventory tracking: where your inventory was 50 days ago, 25 days ago, etc.
Inventory counts: view your amount of inventory on-hand and amount of pre-booked inventory on-hand
Inventory details: sort by dimensions, lot IDs, or expiration dates
Performance KPIs: track damage rates, time from order to delivery, time from order to pickup, and more
Revenue tracking: monitor when loads come in and go out, how many pallets are on them, how much you were charged per pallet, or how much you were charged for storage and handling
Freight details: track where each load is coming from and going to, how many miles it’s traveling, how heavy it is, which SKUs are traveling on it, and what fuel surcharge each load is incurring
Trends: keep an eye on the average number of miles traveled, average costs or average damages, and identify when your peak seasons and off seasons are
Contact us to chat through your data and reporting needs, and we'll connect you with our data science team.