What problem did the client face?

Stupell Industries needed more efficiency in predicting their best-selling products. Their current process involved meeting monthly to make product recommendations, which wasted time and didn’t guarantee the best results. They wanted to create a more accurate system for predicting their best sellers, replacing the manual monthly meetings.

How was it impacting their business or processes?

The lack of a data-driven approach led to inefficiencies in product selection, which impacted their ability to maximize sales potential.

Key features developed:

• Sidetool developed an AI-powered solution that allowed Stupell Industries to automate its product recommendation process, utilizing a custom algorithm to predict the best sellers based on market trends.

Technologies used:

• Airtable
• openAI for images
• n8n

Development time

• 4 weeks

Key metrics improved:

• The automation of the recommendation process saved significant time and offered more accurate predictions.

Long-term impact:

• The system has the potential to evolve into a SaaS product, offering significant long-term benefits for similar industries.

Lessons learned

The project highlighted the importance of understanding the client’s perspective and communicating the scope of the solution.

Challenge overcome

Improving communication between the development team and the client was key to resolving early-stage misunderstandings.

What made the project succesfull

The potential to scale the project into a SaaS platform, along with the integration of AI-driven recommendations, showcased Sidetool's capabilities.

What went well

The technical solution was robust, and the project demonstrated the potential for automation in decision-making processes.

What could be improved

More sessions were needed to convince the client of the solution’s full value, and a stronger selling approach could have helped.

Unique insights

This solution could potentially evolve into a scalable SaaS offering for other companies facing similar challenges.