ALGORITHM
Nova AI Optimization
Technical project using genetic algorithms (MVRP) for logistics optimization, reducing costs by 25%.
CATEGORYALGORITHM
STACKGenetic Algorithms · Python
THE PROBLEM
Technical project using genetic algorithms (MVRP) for logistics optimization, reducing costs by 25%.
−25%logistics cost reduction via MVRP
OVERVIEW
Technical project using genetic algorithms (MVRP) for logistics optimization, reducing costs by 25%.
TECH STACK
Genetic Algorithms · Python
HOW I WORKED
01ScopeTechnical project using genetic algorithms (MVRP) for logistics optimization, reducing costs by 25%.
02BuildImplemented with Genetic Algorithms · Python.
03ShipDeployed into a live operational environment.
DECISION LOG
The calls I owned, the alternative I rejected, and the cost I accepted for each.
01
DECISION
Ship a focused operational tool
ALTERNATIVE REJECTEDWait for a broader platform rewrite
WHYTechnical project using genetic algorithms (MVRP) for logistics optimization, reducing costs by 25%.
COST ACCEPTEDNarrower initial surface, faster time to value.
WHAT MOVED
BEFOREAFTER
StatusManual / fragmentedShipped and in use
OUTCOME
−25%logistics cost
MVRPgenetic algorithm
WHAT I PRODUCED
Genetic AlgorithmsPython
WHAT I'D DO DIFFERENTLY
Technical project using genetic algorithms (MVRP) for logistics optimization, reducing costs by 25%.