Locus Launched Delivery Promise Management Solution
The tool bridges retail checkouts and logistics networks to help operators align delivery estimates with operational capacity.
Updated on Sept. 28, 2026 in Transportation

Locus has released a new software solution called Delivery Promise Management designed to connect retail checkout systems with logistics data. The tool monitors warehouse cutoff times, linehaul transit, and vehicle routes to ensure delivery estimates are accurate.
Why it matters
Retailers must effectively align customer expectations with their underlying operational capacity to maintain service levels. This tool provides a mechanism for reconciling real-time logistics constraints with consumer-facing delivery dates.
Locus has introduced a single integrated solution that covers the entire delivery lifecycle, from warehouse processing to final-mile arrival. The scope of the tool includes warehouse cutoff times, linehaul transit, and individual vehicle routes.
The players
Locus
A technology provider specializing in logistics and supply chain software solutions for retail and delivery operators.
The details
The software functions by creating a direct data bridge between a retailer's digital checkout interface and their physical logistics network. By continuously monitoring warehouse cutoff times and real-time transit status, the system calculates and updates delivery promises to customers based on the actual capacity of the supply chain. This allows retailers to automate the alignment of customer-facing delivery estimates with the current status of each delivery leg.
Timeline
September 28, 2026: Locus launched the Delivery Promise Management solution.
Market Landscape
This launch follows the industry trend of tightening the integration between front-end consumer checkouts and back-end fulfillment visibility. It represents a shift from static delivery estimates toward dynamic, capacity-aware logistics planning.
Retail operators should evaluate their current ability to update delivery estimates in real-time based on warehouse capacity. Consider how automating the link between logistics data and checkout systems could impact your fulfillment accuracy and customer service metrics.
The takeaway
The gap between promised and actual delivery times is often a data visibility issue rather than a transport failure. Operators should track the percentage of delivery promises met as a key metric to determine if their current checkout-to-logistics integration requires an upgrade.
Further reading
For broader trends in logistics technology, visit Transportation.
Source note: This article includes information reported by Supply and Demand Chain Executive.







