Our work
Decisions that moved the number.
Client names are withheld. Each case states whether the work was a Bit Bros engagement or delivered by our partners in a prior role.
Featured / Automotive manufacturing
Allocating scarce production capacity across a North American vehicle lineup
Mixed-integer optimization that allocated constrained production capacity across about 200 vehicle types and a 24-month horizon, balancing profit, volume, and emissions.
$390M Project-reported incremental profit estimate
Read the case studyExhibit
Ranking by unit margin leaves 15.6% on the table
Feasible monthly mixes of two products sharing one bottleneck
Illustrative, from Field Note 02: 1,000 bottleneck hours; product A earns $3,000 and uses 2 hours, product B earns $2,000 and uses 1; demand is 400 A and 700 B. B earns more per bottleneck hour, so the optimum builds all the B demand allows.
More case studies
Online retail
Replacing rule-based ordering with an economic ordering model
The forecast was not the problem. The order was. Every item was being treated as if running out and overbuying cost the same.
$13M+Measured financial impact
Partner experience, prior role
Mobility and transportation
Sizing an on-demand mobility fleet with simulation
Sizing for peak buys reliability at a price the business model cannot carry. Sizing for average fails exactly when riders need the service most.
27%Reduction in required fleet size
Partner experience, prior role
Automotive manufacturing
Ordering the vehicle mix a factory can actually build
Predicting desirable vehicles is only half the problem. Independent rankings are not a production plan: highly ranked configurations compete for the same scarce components.
$64MIncremental profit, project-reported
Partner experience, prior role
Cross-industry
Making production optimization models fast and stable enough to trust
When a model cannot solve inside the decision window, the business quietly stops using it. Faster hardware rarely fixes that. Better formulations usually do.
30–70%Reduction in solve times
Partner experience, prior role
Logistics and parcel delivery
Building a prediction platform for delivery planning at scale
A prediction only creates value if it arrives in time to change a decision.
Major global logistics company
Partner experience, prior role
Defense logistics
Improving logistics and maintenance decisions for a defense organization
When a shortage is measured in lost availability rather than lost sales, retail inventory rules point in the wrong direction.
U.S. Department of Defense organization
Partner experience, prior role
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