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thinkr

Develop by thinkr pro

$25-$339

/ Month
Free plan available 5 Days Free Trial

"Automate store management with AI-driven insights and actions."

Inventory automation
Ai insights
Automate actions
Data analysis
Connect sources
Weekly notifications
Autonomous operations
Deep research

About thinkr

Launched Feb 20, 2025

Categories

Built by thinkr pro

Address

415 Mission St, San Francisco, CA, 94105, US

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Introduction Video

Description

thinkr uses AI agents to monitor your store and automate ecommerce ops, focused on growing profits

thinkr helps ecommerce stores grow by automating everyday operations with AI. We analyze your store data and take action, so you can focus on building your brand. - Tracks orders, inventory, products, and customers - Recommends actions to improve performance - Automates pricing, stock updates, and more - Saves time by handling repetitive tasks for you

thinkr helps ecommerce stores grow by automating everyday operations with AI. We analyze your store data and take action, so you can focus on building your brand. - Tracks orders, inventory, products, and customers - Recommends actions to improve performance - Automates pricing, stock updates, and more - Saves time by handling repetitive tasks for you more
  • One-Click Profit Growth Approve suggestions and let Agents bring you profits.
  • Autopilot Received personalized growth opportunities.
  • Deep Reporting Use internal and web data to uncover insights and opportunities.
  • Chat One channel for insights across 300+ apps like Klaviyo, Meta, Google.

Pros

  • Automates store management tasks, allowing owners to focus on their products.
  • AI-driven insights help improve business operations.
  • Automatically manages inventory and pricing, reducing manual workload.
  • Consolidates multiple data sources into a single chat interface for easier management.
  • Offers automated improvement suggestions via email.
  • Scheduler provides weekly notifications to improve specific business areas.
  • AI can autonomously take actions upon user approval, leading to more efficient store management.
  • Deep research capabilities to generate detailed reports.

Cons

  • Reliance on AI could lead to potential errors if not reviewed carefully by users.
  • Might not fully understand the nuances of individual businesses, as recommendations are data-driven.
  • Integration with multiple platforms could lead to data privacy concerns.
  • Potentially high initial learning curve for users unfamiliar with AI and automation.
  • Dependence on email for communication may not be suitable for all users.

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