DCL Logistics has expanded the capabilities of its fulfillment platform for eCommerce brands by embedding an artificial intelligence (AI)-powered shipping engine called SelectShip.
SelectShip simplifies parcel delivery by automating shipping decisions and optimizing each order for speed, cost and reliability, the third-party logistics (3PL) provider said in a Tuesday (Aug. 12) press release.
The shipping engine features AI-optimized routing, automated carrier and service selection, built-in compliance and label validation safeguards, transparent invoicing, and calculations of the all-in cost, including fuel, surcharges and other fees, according to the release.
The solution is already live with leading eCommerce brands, where it has decreased shipping costs by 12% to 19% on average, reduced transit times from two key facilities from 3.1 days to 2.3 days using standard shipping, and avoided delivery area surcharges in over 95% of cases, according to the release.
Because it is embedded in DCL’s fulfillment platform, SelectShip requires no new tools, dashboards or configuration from the customer, per the release.
“Parcel delivery has become one of the most visible and unforgiving parts of the eCommerce experience,” DCL Logistics President Dave Tu said in the release. “SelectShip reflects our belief that fulfillment partners shouldn’t just provide software. They should own the systems and execution that brands can rely on.”
SelectShip’s real-time routing intelligence is provided by Shipium, an application programming interface-first shipping platform, according to the release. The execution is handled by DCL’s transportation team.
“SelectShip reflects what modern logistics infrastructure should look like,” Shipium CEO and Co-founder Jason Murray said in the release. “Brands get adaptive AI-powered performance without the overhead of managing rules, carriers or disconnected tools.”
The PYMNTS Intelligence and Carat by Fiserv collaboration “Data-Driven Advantage: How Grocery and Retail Merchants Can Accelerate Growth” found that companies that fail to effectively leverage data are lagging behind their more data-savvy counterparts.
For example, the report found that data-ready grocery and non-grocery retailers reported over five times more revenue growth than their less data-ready peers.
Another report, the PYMNTS Intelligence and Corcentric collaboration “Digital Payments: Modernizing Procurement Processes” found that retail and manufacturing companies are investing in digital technology to improve procurement operations and limit business disruptions.
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