Reibus Logistics Quote Manager
To streamline freight quoting and improve pricing accuracy, we developed the Logistics Quote Manager to allow internal logistics users to instantly retrieve and compare recent lane rates. By surfacing historical pricing data within the quoting tool, we eliminated manual workflows and empowered the team to generate faster, more informed quotes. I collaborated with stakeholders across logistics, product, and engineering to ensure the experience was intuitive, scalable, and data-driven.
Company
Reibus International
Industry
Technology
Role
Product Strategy
User Experience
Creative Direction
OverView
The Logistics Quote Manager is a centralized platform used to generate freight quotes at Reibus. Previously, quoting relied on fragmented data from external tools like DAT and Greenscreens, forcing users to manually cross-reference rates. This update introduced an internal lane history lookup tool that enabled users to input equipment type, origin, and destination to view recent rates for similar shipments—all within the same interface. Key capabilities included: • Input fields for equipment type (flatbed, dry van, hotshot), origin, and destination • Real-time return of target buy rate, lane mileage, and last-run date • Equipment-specific logic, such as surfacing “flatbed & conestoga” for flatbed selections • Display of data from the most recent 15 & 30 days • Logging of tool usage and edge cases where no data is returned
The Challenge
The logistics team faced delays and inefficiencies when preparing quotes due to: • The need to manually pull historical rates from third-party platforms • Lack of a centralized view of internal rate history by lane and equipment type • Inability to confidently or quickly validate pricing for volatile, ad-hoc shipments (e.g., hotshots) • Fragmented data access leading to inconsistent quoting experiences and slower turnaround times for customers These challenges created friction internally and limited the team’s ability to scale quoting with speed and consistency.
The Solution
To address these issues, we embedded a lane history comparison tool directly into the Logistics Quote Manager: • Automated Historical Lookup: Users could instantly retrieve internal rate history from the past 15 days by entering basic lane criteria • Contextual Results: Returned lane mileage and last-run timestamps in addition to pricing • Nuanced Equipment Matching: Built logic to support more granular matching (e.g., flatbed-specific variants) • Behavioral Tracking: Implemented usage tracking to monitor adoption and identify areas for future improvement • User-Centric Design: Ensured the feature was simple to use and accessible within the core workflow, reducing the need to jump between platforms.
The Result
The updated Logistics Quote Manager significantly improved quoting workflows and directly supported key operational goals: • Faster Time to Quote: Reduced average quote time from 15+ minutes to under 5 minutes, streamlining efforts for logistics and sales teams • Better Pricing Decisions: Equipped users with reliable internal lane rate benchmarks, improving accuracy when comparing with third-party sources like DAT and Greenscreens • Enhanced User Experience: Consolidated quoting into a single platform, minimizing context switching and eliminating manual workarounds • Stronger Operational Insight: Captured behavioral data and edge cases through built-in usage tracking, informing continuous improvement • Scalability for Hotshots: Established a flexible foundation to support future quoting scenarios for volatile or ad-hoc shipments, such as hotshots These improvements helped the team quote more confidently, respond to customers faster, and build the infrastructure needed to support long-term growth.
