LOGISTICS
Smart routing that learns your constraints.
Routes that adapt to traffic, driver preferences, and delivery windows. Better delivery times, happier customers, lower costs. Start with recommendations or go fully autonomous.
The Logistics Problem
Route optimization software solves yesterday's problem. Traffic changes. Drivers have preferences. Customers request specific windows. Weather happens. Skaldic learns from every delivery to optimize routes in real-time, not once a week.
How Skaldic Optimizes Your Fleet
From static routing to continuous, real-time optimization.
1
Real-time data stream
GPS, delivery windows, traffic feeds, driver status, customer feedback all feed into the system.
2
Huginn optimizes routes
Given current conditions, traffic, and driver preferences, suggest the best route now.
3
Muninn records outcomes
Actual travel time, delivery time, customer satisfaction—all logged against the recommendation.
4
Drivers give feedback
Exceptions, customer notes, and road conditions are captured and fed back.
5
Odin improves (Proof & Allfather)
Weekly policy updates in our Proof pilot and Allfather subscription. The system learns traffic patterns, driver styles, customer preferences.
12-15%
Fuel Savings
Shorter routes, fewer miles, lower per-delivery cost.
20%
On-Time Improvement
Fewer late deliveries, happier customers.
8-12 weeks
Pilot Timeline
See results in one region before fleet rollout.
Which Components Matter Most in Logistics?
All four work together, but logistics emphasizes these:
Huginn
Decides routes considering traffic, delivery windows, and driver preferences in real-time.
Muninn
Stores actual delivery times, traffic patterns, driver behavior, and customer preferences.
Runess
Retrieves historical traffic data, delivery windows, customer locations, and driver performance.
Odin (Proof & Allfather)
Learns from outcomes: Was the suggested route faster? Did it hit the delivery window? Available in our Proof pilot and Allfather subscription.
Ready to optimize your logistics?
We'll work with you to pilot routing optimization in one region. Real-time suggestions, continuous learning, measurable savings.