Shram 2.0

Shram 2.0

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Shram is powered by AI and is designed to improve task organization, monitor progress through gamification, and provide real-time insights to increase team efficiency.

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Key AI Functions:ai productivity tools,project managament,task management

Description for Shram 2.0

Shram is a productivity tool that is propelled by AI and is designed to assist teams in the organization of projects, the monitoring of progress, and the maintenance of motivation. It provides AI-driven insights, gamification, and seamless collaboration features to improve efficiency and engagement.

Features of Shram :

  • AI-Powered Insights: Offers comprehensive work reports and real-time summaries.
    • Improved Organization: Employs infinitely nested folders in place of a fixed hierarchy.
  • Gamification System: Awarding badges, XP, and weekly progress indicators.
  • Multiple Work Views: Supports the Kanban board, list view, table view, and overview.
  • Natural Language Search: Enables users to locate tasks by applying memory rather than keywords.
  • Keyboard Shortcuts: Facilitates seamless navigation by eliminating the need to transition between the keyboard and mouse.
  • Live In-App Support: Provides immediate support within the platform.
  • AI Enhancements Being Planned: Cognitive load tracking, intelligent workload distribution, skill development suggestions, and contextual AI for task automation are among the features that are being considered.
  • Key Integrations: Integrates with a variety of platforms, including Slack, MS Teams, GitHub, WhatsApp, Discord, and more.

Pricing for Shram 2.0

Use Cases for Shram 2.0

  • Project Management: Manage tasks, monitor progress, and supervise work from multiple perspectives.
  • Team Productivity Tracking: Ensure that the workload is distributed evenly and that assignments are balanced.
  • Employee Engagement: Utilize XP, badges, and performance insights to gamify work.
  • Effective Collaboration: Utilize communication tools to automate assignment updates through integrations.
  • AI-Driven Decision Making: Develop actionable insights to enhance work processes.

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