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AI Tools for Data-Driven Management in an ecommerce startup (alien.top)

submitted 1 year ago by xDarkOne@alien.top to c/entrepreneur@indiehackers.space

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As a co-founder of an ecommerce startup, I've been diving deep into AI tools to enhance our business management strategies. I want to ensure that we utilize our sales, customer, and inventory data to its fullest potential.

While I continue to explore, here are 5 AI-driven tools that we have actively implemented and benefited from in our operations. I'd recommend giving these a shot:

https://aihelperbot.com/ – used it for extracting insights from our CRM database. It facilitates the generation of SQL queries in natural language, eliminating the need for in-depth SQL expertise. They offer a compelling free trial.
https://double.cloud/ - we've been using their data solutions for a while. Lately, I've been tapping into their built-in AI capabilities to interpret charts and graphs on the BI dashboard, making it easier for us to analyze and share insights with our team and other stakeholders.
https://radicalbit.io/ – helped us to significantly cut down our time to market for certain features. With its AI-driven decision support system grounded in real-time analytics and predictive modeling, our development team's productivity has seen a notable surge.
https://www.askviable.com/ - experimented with this to automate customer feedback analysis. Their intuitive Q&A feature lets you pose questions in natural language and receive data-informed answers. Similarly, https://insight7.io/ has been beneficial in understanding the sentiment behind our customer reviews.
https://www.delve.ai/ - started to use this to craft detailed customer personas. It's a valuable tool for those seeking budget-friendly audience intelligence, offering deep dives into customer behavior patterns.

If you've come across any other tools, I'd love to hear about them.

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[–] Tanaleksss_Co@alien.top 1 points 1 year ago

I gave askviable a shot for its feature to automate customer feedback analysis with its Q&A system. The idea of posing questions in natural language and getting data-informed answers sounded great, but honestly, it was a letdown for me in practice. I'm currently on the hunt for a better alternative. Anyone have any recommendations or experiences with something more reliable?