Supermarket chain with fulfillment centers serving homes and pickup points
Home utility products requiring reliable same-day delivery windows
Multi-location order fulfillment with tight time commitments
Automate trip planning to handle peak demand without delays
Coordinators grouped orders by hand under time pressure
Vehicles left half-empty while others overloaded
Surge volumes pushed schedules and missed windows
Constant communication across fulfillment centers
Manual model couldn't handle business growth
Groups shipments by distance, windows, fulfillment mode
Minimizes travel time and fuel within each cluster
Handles home delivery and pickup point logistics
Aims for 25-30 deliveries per vehicle efficiently
O(n²) complexity handles order surges instantly
Connects seamlessly with order and fulfillment systems
Clustering logic, optimization routines, service code
Real-time order and fulfillment data streams
Bi-directional flow with existing systems
Lightweight deployment and endpoints
Single/complete/average/centroid methods
Goals to clustering to real-time deployment
Staff oversee system trips instead of building from scratch
Vehicles hit 25-30 deliveries per trip consistently
Tighter routes improve on-time performance
Handles volume growth without added planners
Consistent service builds loyalty
Focus shifts to exceptions and strategy
Reduced trips serve same demand efficiently
Tighter routes hit windows consistently
Grows with volume without staff increases
Reliable service drives repeat business
You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
Discover cutting-edge ideas and insights from the world of technology and business.
You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
