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Truck Loading Prioritization Algorithm

MNDA

Enterprise/Corporation
Company Type
Diamond Bar, California, United States
Location
Project work
Engagement Model
1 - 5 people
Team Size
12 - 24 Months
Duration
$200K - $250K
Budget

About

Data Masters collaborated with a major US bottling company to redesign its truck loading process and reduce detention fees across multiple facilities by implementing a truck loading prioritization algorithm. The optimization also uncovered $194,000+ in savings at a single location through increased on time deliveries. The result was a measurable uplift in shipment efficiency and a clear operational ROI.

Challenge, approach, and impact

Truck Loading Prioritization Algorithm

Designed and implemented a truck loading prioritization algorithm tailored to the client’s operational realities to improve how trailers were sequenced and serviced across multiple facilities, resulting in a 20–40% reduction in detention costs per plant and a 10-minute decrease in average yard processing time per truck.

Optimization Uncovered Savings

Uncovered $194,000+ in savings at a single location through increased on-time deliveries, resulting in a measurable uplift in shipment efficiency and a clear operational ROI.

Applied Methodology

Followed a structured, multi-phase approach to develop and deploy an intelligent trailer prioritization solution, including in-depth analysis, three-phase implementation plan (Analysis, Modeling, Testing & Re-adjustment), agile methods, weekly working sessions, validation through testing, and seamless integration with Manhattan WMS.

Solutions Implemented

Implemented an AI-powered Trailer Prioritization Algorithm, customizable priority ranking, API-driven system integration, Azure-based deployment, focus on customer service level optimization, and cost minimization logic.

How we built

AI & ML Solutions
Fleet Management
Data Analytics and Visualization

Testimonials

Kostandina Zafirovska

IT Labs

Verified Testimonial

“Collaborating with highly-skilled professionals such as the ones that work at Data Masters has been a great experience - they're always up to the task, and are proactive and cooperative every step of the way, providing valuable input and dutifully acting upon feedback and requests.”

Team structure

Client team

Peter's avatar

Peter

Manager

Daily point of contact

Kostandina Zafirovska's avatar

Kostandina Zafirovska

General Manager

Daily point of contact

The client stakeholders were working closely with the team at Data Masters

Agency team

1 x Data Scientist's avatar

1 x Data Scientist

Production

2 x Data Analyst's avatar

2 x Data Analyst

Production

1 x ML Engineer's avatar

1 x ML Engineer

Production

1 x Data Engineer's avatar

1 x Data Engineer

Production

1 x Project Manager's avatar

1 x Project Manager

Production

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