Frito Lay

Optimizing Frito Lay’s Operations Through AI Powered Route Intelligence in SalesLead+

Enhancing Route Optimization and Decision Making for Zone Managers and Drivers

Role

UX Designer

Team

HondaLink Digital Experience

Timeline

Oct 2023 - Nov 2023

Overview

Business Context

Frito-Lay operates one of the most complex distribution networks in the snack food industry. Efficient delivery operations are critical to maintaining market leadership, but outdated manual processes in SalesLead+, their internal logistics platform, were slowing down route planning and driver efficiency.

Frito-Lay operates one of the most complex distribution networks in the snack food industry. Efficient delivery operations are critical to maintaining market leadership, but outdated manual processes in SalesLead+, their internal logistics platform, were slowing down route planning and driver efficiency.

Frito-Lay operates one of the most complex distribution networks in the snack food industry. Efficient delivery operations are critical to maintaining market leadership, but outdated manual processes in SalesLead+, their internal logistics platform, were slowing down route planning and driver efficiency.

My Role & Collaboration

As the Lead UX Designer and Solution Architect, I led a four week enterprise pilot to integrate AI powered route optimization and trip scoring into SalesLead+. The solution helped zone managers make smarter decisions and empowered drivers with real time adjustments, resulting in:

As the Lead UX Designer and Solution Architect, I led a four week enterprise pilot to integrate AI powered route optimization and trip scoring into SalesLead+. The solution helped zone managers make smarter decisions and empowered drivers with real time adjustments, resulting in:

As the Lead UX Designer and Solution Architect, I led a four week enterprise pilot to integrate AI powered route optimization and trip scoring into SalesLead+. The solution helped zone managers make smarter decisions and empowered drivers with real time adjustments, resulting in:

This resulted in:

This resulted in:

This resulted in:

%

Reduction in route planning time

%

Fewer mid day route adjustments

%

AI recommendation acceptance rate

%

Adoption rate among pilot users

The Challenge

Inefficiencies in Route Planning & Delivery Operations

How can Frito-Lay optimize SalesLead+ to make route planning faster, more accurate, and adaptive for zone managers and drivers?

How can Frito-Lay optimize SalesLead+ to make route planning faster, more accurate, and adaptive for zone managers and drivers?

How can Frito-Lay optimize SalesLead+ to make route planning faster, more accurate, and adaptive for zone managers and drivers?

01

01

01

Manual Route Planning

Manual Route Planning

Manual Route Planning

Zone managers spent 45 plus minutes per route adjusting plans across eight different systems.

Zone managers spent 45 plus minutes per route adjusting plans across eight different systems.

Zone managers spent 45 plus minutes per route adjusting plans across eight different systems.

02

02

02

Mid Day Route Changes

Mid Day Route Changes

Mid Day Route Changes

12 percent of planned routes required adjustments, leading to delays and inefficiencies.

12 percent of planned routes required adjustments, leading to delays and inefficiencies.

12 percent of planned routes required adjustments, leading to delays and inefficiencies.

03

03

03

Limited Data Driven Decisions

Limited Data Driven Decisions

Limited Data Driven Decisions

Managers lacked real time tracking and historical performance insights.

Managers lacked real time tracking and historical performance insights.

Managers lacked real time tracking and historical performance insights.

04

04

04

Inconsistent Communication

Inconsistent Communication

Inconsistent Communication

Drivers had no streamlined way to receive updated route details or feedback.

Drivers had no streamlined way to receive updated route details or feedback.

Drivers had no streamlined way to receive updated route details or feedback.

By integrating AI powered recommendations and real time trip scoring, I aimed to streamline route planning, improve decision making, and boost efficiency.

By integrating AI powered recommendations and real time trip scoring, I aimed to streamline route planning, improve decision making, and boost efficiency.

By integrating AI powered recommendations and real time trip scoring, I aimed to streamline route planning, improve decision making, and boost efficiency.

Process & Approach

Optimizing Route Planning Efficiency

Phase 01 | Research Methods

Conducted eight structured interviews with zone managers

Conducted eight structured interviews with zone managers

Conducted eight structured interviews with zone managers

Observed real world route planning sessions over two full days.

Observed real world route planning sessions over two full days.

Observed real world route planning sessions over two full days.

Collected 25 driver surveys on daily inefficiencies

Collected 25 driver surveys on daily inefficiencies

Collected 25 driver surveys on daily inefficiencies

Analyzed current system usage patterns to identify bottlenecks

Analyzed current system usage patterns to identify bottlenecks

Analyzed current system usage patterns to identify bottlenecks

Key Findings

Time Investment

Time Investment

Time Investment

Mins

Spent per route due to fragmented tools and manual steps

Spent per route due to fragmented tools and manual steps

Spent per route due to fragmented tools and manual steps

Mid-day Adjustments

Mid-day Adjustments

Mid-day Adjustments

%

Of routes required mid day adjustments, disrupting deliveries

Of routes required mid day adjustments, disrupting deliveries

Of routes required mid day adjustments, disrupting deliveries

Multiple Systems

Multiple Systems

Multiple Systems

Different systems to plan a single route

Different systems to plan a single route

Different systems to plan a single route

Manuel Process

Manuel Process

Manuel Process

manual steps with no automation

manual steps with no automation

manual steps with no automation

Phase 02 | AI Powered Solution Design

Phase 03 | Prototyping & Implementation

Driver Experience

Driver Mobile View With AI Alerts

Driver Stop Detail View

Driver Route Overview

Driver Delivery Completion

Impact & Measurable Outcomes

Performance Gains and User Adoption

Operational Efficiency Gains

Route planning time reduced from 45 to 28 minutes per trip

Trip scores improved from an average of 72 to 85.

90 percent of AI recommendations accepted by managers, proving trust in automation

65 percent fewer mid day route changes, minimizing disruptions

User Adoption and Engagement

87 percent of pilot users actively used the new features

92 percent satisfaction rate with the Trip Score system

Drivers appreciated mobile accessibility, improving communication and engagement

Route planners reported increased confidence in decision-making with AI-driven recommendations

Key Takeaways

Strategic Insights and UX Impact

1

AI Automation

Saved managers time by reducing manual route adjustments.

2

 User Feedback

Improved adoption, leading to higher engagement.

3

Real Time

Updates reduced mid day route changes by 65 percent.

4

Scalable Design

Scalable design enabled expansion across multiple regions.

Next Steps

Immediate

Immediate

Immediate

  • Expand pilot to three additional regions

  • Enhance AI learning from driver feedback

  • Improve mobile experience based on pilot feedback

Short Term

Short Term

Short Term

  • Refine Trip Score algorithms for greater accuracy

  • Implement additional route performance metrics

  • Develop a driver recognition program to reward high efficiency trips

By integrating AI powered route intelligence, this project transformed SalesLead+ into a smarter, faster, and more scalable logistics platform. Ensuring Frito Lay can stay ahead in the competitive snack food industry.

Honda

Honda

Honda

Teco

Teco

Teco

Available For Work

tdsibby1@gmail.com

Available For Work

tdsibby1@gmail.com

Available For Work

tdsibby1@gmail.com