AI Feature Integration

Eighty Days App UX Case Study: Automating Itinerary Creation with Conversational AI

Introducing AI automation to complex itinerary planning, turning multi-step manual tasks into a single chat command.

A mobile screen showing a chat interface where a user is requesting a travel itinerary.

Impact by the Numbers

The AI feature drastically reduced the time and effort required for core application tasks, leading to higher engagement and satisfaction.

Time to Create Itinerary (Manual)

15+ Clicks

Time to Create Itinerary (AI)

1 cmd.

User Engagement with Planning

+40%

User Satisfaction Score (Feature)

Very High

About the Client

Our Client at a Glance

Eighty Days App

A comprehensive travel planning application where users manually build multi-destination, detailed trip itineraries.

The Core Problem

While the app provided powerful planning tools, the manual process of selecting dates, destinations, and preferences was complex and time-consuming, creating friction for first-time users.

The Roadblock: Complex Manual Planning

High Cognitive Load

Users had to navigate multiple screens and input fields to set up a trip, leading to decision fatigue and abandonment.

Itinerary Abandonment Rate

High

Tedious Manual Process

Building a detailed itinerary required numerous clicks and manual integration of preferences and Google Services data.

Steps to Completion

15+ Steps

Steep Learning Curve

New users struggled to understand the step-by-step logic of the itinerary creation tool.

First-Time User Confusion

High

The Client’s Vision: Effortless Travel Planning

A phone screen showing a simple conversational AI interface.

Simplify Core Feature Usage

Make the core task of itinerary creation accessible and easy for all users, regardless of planning skill.

Introduce Conversational UX

Allow users to interact with the app using natural language, as if talking to a personal assistant.

Enhance Speed and Delight

Leverage AI and existing Google Services APIs to automate the entire process for maximum speed and user satisfaction.

Our Solutions

One Command, One Itinerary

The Conversational Interface

Replaced confusing forms with a simple chat window. Users describe their trip goals in plain language, making the experience feel immediate and personal.

AI-Driven Automation

The AI acts as an invisible assistant, automating the entire multi-step manual process of itinerary construction, instantly generating the base plan.

Seamless Google Services Integration

The AI intelligently uses necessary Google Services API data behind the scenes to enrich the itinerary with accurate and relevant location information.

Enhanced User Experience (UX)

By removing friction and cognitive load, the feature provides a sense of delight and efficiency, encouraging users to plan more trips more often.

Project Visuals

Behind the Transformation

Key Takeaways

Main Learnings & Highlights

AI Should Automate Friction

The best use of AI in UX is to target and automate the most complex or multi-step manual processes, transforming tedious tasks into one-click or one-command actions.

Power of Conversational UX

Natural language input (chat) is the most intuitive interface. Using it to capture complex user intent and trigger automation is highly effective for improving feature adoption.

UX is the Integration Layer

The success of the feature was not just the AI model, but how smoothly it integrated the existing app logic and external data (Google Services API) into a seamless, user-friendly output.

Limitations That Guided The Process

Project Timeline

The project carried a firm deadline, pushing the team to stay aligned and deliver on time.

Time taken

125 Hrs

Phase 1

Initial planning and research took place, establishing the framework for the project.

Time taken

50 Hrs

Phase 2

Development and implementation, where the core features were built and tested.

Time taken

75 Hrs

Phase 3

Final review and adjustments, ensuring everything met the quality standards before the launch.

Time taken

30 Hrs