XRM

Enhancing Text Input Efficiency with Auto-suggestion

Executive Summary

One of our clients, ABC in Australia, was using an existing online timesheet system where employees were required to enter daily work details for each project assigned to them. In addition to filling out timesheet entries, employees had to clock in and out and use other standard features of the timesheet software.
However, manually entering textual descriptions of daily tasks proved time-consuming, mainly because employees often worked on the same projects for months. Many entries included common phrases that employees were required to rewrite daily, taking up much of their time to re-enter the same information daily.

Problems faced by Client:

Typing repetitive text daily while work detail entry was time-consuming and inefficient for ABC. Employees were required to re-enter the same information daily, which took up much of their time. As a result, many employees opted to skip the "work details entry" section of the timesheet altogether. This inefficiency became a significant challenge for ABC, prompting them to seek a solution from us.
Before implementing the auto-suggestion feature, users encountered several challenges:
Slow and repetitive typing: Users had to manually type frequently used phrases, increasing time spent on input.
Lack of intelligent text prediction: No system existed to suggest words or phrases based on previous inputs.

Proposed Solutions:

After thoroughly analysing the client's challenges, we identified that an AI-powered solution integrated into their existing Power Portal-based timesheet system would effectively address the issues. We developed the Smart Time Entry Validator Bot, which ensures employees submit detailed and accurate time entries. Leveraging advanced AI technology, the bot validates entries, enhancing clarity, accuracy, and compliance within the time-tracking process.


Key Features

Intelligent Text Indexing: The system stores and analyses past text inputs to suggest commonly used phrases.
Real-Time Auto-suggestions: The system automatically provides relevant word or sentence recommendations as users begin typing.
Context-Aware Predictions: The AI model adapts to different usage scenarios, ensuring relevant suggestions.
Seamless Integration: The feature was embedded into existing text fields without disrupting the user experience.
Improved Consistency: The system ensures that commonly used phrases are suggested uniformly, reducing variations in text.

Technologies Used

• Dot Net Nuke
• Js/Jquery
• AI



Client Benefits:

Increased Productivity: Making it faster and easier for employees to complete the "work details entry" section without skipping it.
Improved Accuracy: Reduced typing errors and ensured consistent text formatting.
Enhanced User Experience: Real-time suggestions made text input smoother and more intuitive.

Implementing the Smart Auto-Suggestion System features successfully addressed the challenges faced by ABC in its timesheet system. This solution improved overall productivity and enhanced user experience, ultimately ensuring that the "work details entry" section was consistently filled out, benefiting both employees and the client ABC.

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