Alloy Analytics

BACKGROUND

I am the Founder of Builtt

AI Services for consutruction businesses

OPPORTUNITY / CHALLENGE

• Automate inventory management within our Shopify store using an AI agent, reducing manual stock updates and improving accuracy across our product catalog.Reduce time spent manually reconciling stock levels and catch inventory discrepancies before they affect customer orders.

SOLUTION

Referral

• High ratings
• Pricing fit our budget
• Great culture fit
• Good value for cost
• Referred to me
• Company values aligned

1 Employee

 We hired Alloy Analytics to design and build an AI agent that automates inventory management for our Shopify store. The goal was to cut down manual stock updates and catch inventory discrepancies before they affected customer orders. Key deliverables Connection between the AI agent and our Shopify store data Logic to monitor stock levels and update them automatically An exception process that flags items for manual review when needed Testing of the system against real store data before rollout Go-live support once the agent was running Documentation so our team can manage and maintain the agent going forward Outcome Manual inventory update time dropped significantly, and we now see fewer stock discrepancies and out-of-stock errors on the storefront. I left your company name out, as you asked earlier. If your client wants it in, add it to the first line. If you have real numbers, such as hours saved per week or the drop in stock errors, add them to the outcome line. Clutch reviews with specific figures carry more weight.

RESULTS & FEEDBACK

Manual inventory update time reduced significantly, with fewer stock discrepancies and out-of-stock errors on the storefront since the agent went live.

Alloy Analytics Team managed the project well from start to finish. They agreed the scope with us at the start, kept us updated as the work progressed, and delivered each stage on schedule over the three months. They were quick to respond whenever we had questions or needed a change. When we had feedback during testing, they acted on it straight away. They also explained things in plain language, which made it easy for our team to follow what was happening. Communication was clear and regular, and we never had to chase for updates. We would happily work with them again.

• Virtual Meeting
• Email or Messaging App

What impressed us most was that Alloy Analytics understood our business, not just the technology. They took the time to learn how our inventory process worked before building anything, and the AI agent they delivered fit the way we actually run our store. They also thought carefully about edge cases. Instead of trying to automate everything, they built in a clear way to flag unusual items for manual review, which gave us confidence in the system. Finally, they tested against our real store data before going live and left us with clear documentation, so our team can manage the agent without needing help. Many vendors skip that last part. They combine strong technical skills with plain, honest communication, and that is hard to find.

We have no real complaints. The project ran smoothly and met our needs.

BACKGROUND

Introduce your business and what you do there.

I’m the CEO and CGO of PixelBo, an IT company. We provide consulting and marketing strategy services focused on creativity, authenticity, and innovation to help businesses grow and effectively reach their target audiences.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Alloy Analytics to accomplish for PixelBo?

We hired Alloy Analytics for some international projects we were working on.

SOLUTION

What was the scope of their involvement?

Alloy Analytics and PixelBo worked collaboratively, with both teams contributing significantly to the project. Together, we delivered business dashboards, data analytics, and tailored solutions that supported the project’s goals.Alloy Analytics was directly involved in dashboard development, data analysis, visualization, KPI reporting, and delivering customized analytical solutions. These efforts were carried out collaboratively with PixelBo as part of the overall project.

What is the team composition?

We worked with 2–5 teammates from Alloy Analytics.

How did you come to work with Alloy Analytics?

We found them through a referral and Clutch. We chose them because they had high ratings, their pricing fit our budget, and they offered good value for the cost.

How much have you invested with them?

The investment was confidential.

What is the status of this engagement?

We worked together from August 2023–August 2026.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

The project resulted in the successful delivery of business dashboards and analytics solutions for 10+ clients. Key outcomes included improved data visibility, streamlined reporting, faster access to business insights, and more efficient data-driven decision-making.Specifically, the project improved data visibility by bringing key business metrics into centralized, interactive dashboards. Reporting became more streamlined, with users able to access KPIs, trends, and performance insights in one place instead of relying on multiple manual reports. This helped teams monitor performance more efficiently and make faster, data-driven decisions.While specific percentage improvements were not formally measured, the project delivered clear operational improvements, including reduced reliance on manual reporting, faster access to key business metrics, and more efficient monitoring through centralized dashboards. The solutions were successfully implemented across 10+ client projects.

How did Alloy Analytics perform from a project management standpoint?

Alloy Analytics’ project management was good. We communicated via virtual meetings, emails, and messaging apps.

What did you find most impressive about them?

What stood out most was Alloy Analytics’ collaborative approach, flexibility, and ability to turn business requirements into practical, ready-to-use dashboards and analytics solutions. Their focus on understanding the actual business needs and working closely with the team made the overall collaboration effective.

Are there any areas they could improve?

Overall, the collaboration was smooth and effective. One area they could improve on is having even more structured documentation and communication around timelines and deliverables. This could make an already collaborative process even more efficient.

BACKGROUND

Please describe your company and position.

 I am the Managing Partner of a financial services company 

Describe what your company does in a single sentence.

Accounting and Consulting services for restaurants, bars, and hotels.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Alloy Analytics to accomplish?

• Build a centralized, low-cost analytics warehouse on Google Cloud by integrating Restaurant365, Toast, Ottimate, and Asana data for finance, operations, and management reporting.

SOLUTION

How did you find Alloy Analytics?

LinkedIn

Why did you select Alloy Analytics over others?

Prior Experience specifically with Restaurant365

How many teammates from Alloy Analytics were assigned to this project?

1 Employee

Describe the scope of work in detail. Please include a summary of key deliverables.

We engaged Dhilip to help us build pipelines to ingest data from various software platforms we use into our data warehouse, BigQuery.  Software included Restaurant365, Toast, Ottimate, and Asana.  The deliverable was to develop pipelines that would run on a recurring schedule to ingest the new or modified data as well as curated layers for reporting.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Automated daily data refreshes, reduced manual reporting effort, validated financial reporting from Restaurant365, and centralized visibility across POS, accounting, AP, and project/task data.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Dhilip is extremely professional, dependable, and flexible.  We were thrilled with his work and continue to engage Alloy Analytics for additional projects related to our data requirements.  We can't speak highly enough about his professionalism and timeliness.

What was your primary form of communication with Alloy Analytics?

Email or Messaging App

What did you find most impressive or unique about this company?

We were very impressed with the commitment to success as there were numerous roadblocks and scope adjustments to navigate and all were handled without issue.

Are there any areas for improvement or something Alloy Analytics could have done differently?

No, we were thrilled with the process and outcome.

BACKGROUND

Introduce your business and what you do there.

I’m the founder of Rescue Transit AI, a platform that streamlines and coordinates animal transfers between shelters, rescues, and transporters. We use real-time logistics and data to help reduce overcrowding and save more animals nationwide.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Alloy Analytics?

We needed help with data architecture engineering to review our work before further software building continued. We wanted to make sure the architecture was right before continuing or adding to our current software.

SOLUTION

What was the scope of their involvement?

Alloy Analytics reviewed our current tech stack and software. In their final deliverable, they gave us a high-level overview of the current state and recommendations for setting up the data architecture for the upcoming software engineering to be done in our system.

What is the team composition?

We worked with an unknown number of teammates from Alloy Analytics.

How did you come to work with Alloy Analytics?

We found them through an online search. We chose them over other options because of their high ratings and skills.

How much have you invested with them?

We spent less than $10,000.

What is the status of this engagement?

We worked together in June 2026.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

Our software development has gone smoothly since Alloy Analytics' deliverable, following the instructions from the final report. They've more than paid for themselves. The final report and information given have saved us a large, future expense. The value of good data architecture such as the one provided cannot be understated as the work has given us an invaluable roadmap to work off of.Without Alloy Analytics' report and roadmap, our team would have built case-needs models that would later have had to been rebuilt and added to. Since this was pointed out from the beginning, it has saved us many hours of hiring future engineers to create this case-needs model, and that was just one part of the final deliverable. Overall, we've saved around 200 hours of development time.

How did Alloy Analytics perform from a project management standpoint?

Alloy Analytics' project management was excellent. We mainly communicated through virtual meetings, emails, and messaging apps.

What did you find most impressive about them?

They were very thorough in their work and provided more details than expected.

Are there any areas they could improve?

No, there weren't any.