Tray AI orchestration platform for the enterprise

My main use case for Tray.io  is to conduct A/B testing for marketing initiatives that the company has undertaken. We test the deployment of different campaigns across similar cohorts and evaluate which one performs better.

Tray.io  fits into my A/B testing process by analyzing the number of words used by consumers in comments and the number of times they stopped campaign videos at specific points. Through this analysis, we can investigate the attention levels of users and determine what thoughts are elicited by the campaign.

I have found that the error management in my main use case with Tray.io is not as effective as we would prefer. We would appreciate having a way to recycle cases that do not carry much value. Every user is precious in their own way, and even if a user does not provide much information, we would still value the ability to extract some information from those boundary cases.

The best features Tray.io offers include excellent visualization capabilities and a dashboard, which stand out to me the most.

I appreciate that it is very easy to convert the data we receive from Tray.io into dashboards from Power BI, which is extremely useful. I would also appreciate if in the future Tray.io provides a way to natively convert the data to Tableau.

Tray.io has positively impacted my organization as it provides a trusted way to organize data results and share them throughout the company at once. As a multinational and very large company, it is definitely beneficial that those of us in the UK can use the same format that colleagues use in India, and the entire data architecture is framed within a trusted system from an established organization. As far as I know, Tray.io has been operating for the last 12 years, making it a very reliable system.

I believe Tray.io can be improved by offering integration with Tableau, which is still not available.

I rated it an eight because there are still some things that can be improved, as I mentioned before.

I started using Tray.io approximately one year ago.

In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable. We did not experience any downtime, compatibility issues, or system issues at all.

The scalability of Tray.io is quite good. We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally, and the people involved in using Tray.io number in the hundreds. I believe the scalability is quite good.

I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support. However, I can tell you that the support provided through newsletters and update bulletins is quite good.

Previously, we attempted to develop an in-house solution as a company proprietary system, but we failed to achieve a good standard and quality level with that approach. We therefore looked for an established solution.

I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system. There are no complaints in this regard.

My experience with pricing, setup cost, and licensing for Tray.io is that I did not personally follow the pricing negotiation, but I understand that the company pays a monthly fee which is very competitive. No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.

A few options were evaluated before choosing Tray.io, but I cannot recall which ones were proposed to me because Tray.io was identified as the most valid option since the very beginning.

My advice to others considering Tray.io is to trust the process because once the installation is complete, it is extremely easy to deploy and set up.

I have rated this product an eight out of ten.

Tray.io 's main use case for my organization is workflow automations related to user onboardings, license reconciliation, and a myriad of other tasks to improve redundant processes.

An example of a workflow that I automated with Tray.io  was during a user email migration where this specific workflow would place individuals being migrated from an offshore email address to our corporate email address into a Slack message saying, 'Hey, we're getting you onboarded with a new email address', and putting them in a specific Slack channel, involving a lot of webhooks and communications.

Tray.io has positively impacted my organization by reducing the amount of redundant tasks that our team performs by approximately 80%, and the numbers are quite significant with the workflows alone, as we are working towards creating and utilizing AI within these workflows as well.

The 80% reduction in redundant tasks was measured based on the time saved, primarily for onboarding processes. We use a lot of offshore work, and Tray.io helps keep us organized in that sense.

I appreciate that Tray.io is low-code automation, meaning you do not have to be an expert in JSON to understand the components and create automations.

The best features that Tray.io offers include a lot of API connections, and we use it for Slack, with Airtable  being our data and low-code database that also handles automations, where we store information. You can also connect to G Suite and many different types of environments that can be automated.

One way Tray.io could be improved, especially for people coming in with no real coding experience, is with more comprehensive error messages. When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.

I have been using Tray.io for approximately eight months.

In my experience, Tray.io is stable, considering the number of workflows we automate. I would say it is quite stable.

Tray.io's scalability is highly effective, given the amount of workflows we generate.

As for return on investment with Tray.io, I have reduced approximately 80% of our redundant tasks through Tray.io alone.

I found that Zapier  is the only real similar platform to Tray.io, though in terms of scalability, Tray.io is the better option. Zapier  does offer a free tier, but it does not meet the demands of a scaling company.

I would rate Tray.io overall about a seven, give or take, with a consideration of seven and a half. I chose seven for my rating mostly for cost-related reasons as I would not really recommend it for smaller companies or startups. Zapier would be a more beneficial solution for those, but if you are looking to scale up, I think it is worth the price, which is the only reason I would give it a seven rating. My overall review rating is seven.

The learning curve for new users on Tray.io is somewhat noticeable, as when you first log on having never used a low-code platform, you need to take the time to really learn how the workflows are deployed and how to connect everything. However, once you are using it every single day, it is quite easy to catch up, though there is still a bit of a learning curve.

Tray.io integrates fairly well with our existing tech stack, as we utilize Okta, Slack, Google Cloud  platforms, AWS , and a multitude of software-as-a-service applications, and Tray.io automates many of these. From my experience alone, it helps with onboardings, offboardings, and title changes.

We run automation workflows with Tray.io  to take data from our internal databases and update a third-party software that we use. Specifically, my company offers digital trade credit, and we use that software to support our collections processes.

At a high level, our systems call a webhook in Tray.io . The workflows in Tray.io then triage and process the incoming data, and finally  makes API calls to the third-party service to modify objects.

I appreciate the logging features that Tray.io offers, as it is fairly intuitive to use. It is also fairly straightforward to customize debugging messages if needed.

The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes. Errors could be a configuration issue on our side or 500 errors, and being able to go through each of the workflow steps and see what the outputs were at that particular point has been quite useful for us in terms of making our workflows more resilient and understanding what has gone wrong.

Tray.io has positively impacted my organization by helping us automate both the development and maintenance work that is needed to keep our internal database and this third-party service in sync.

It was not always easy to test our changes in Tray.io. In a software engineering context, you might imagine there being different branches and different environments to make changes where you can make changes and test them, but in Tray.io it does not quite work the same way. I understand there have been improvements in this regard.

I have been using Tray.io for about two years.

Tray.io is stable in my experience.

As our product got more complex, we needed to adapt our Tray.io setup to match that, and that was when the benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated. Given the limited time we have invested in it, I would say Tray.io was fine for us in terms of processing larger volumes, but it was less smooth-sailing when it came to increasing complexity.

The customer support from Tray.io is adequate. It is not great, but not terrible in my memory.

I am not in a position to comment on seeing a return on investment, but instead of paying Tray.io, we could have spent more of our engineers' time.

I think in general it has been a positive experience with Tray.io, and while there are areas where it can be improved, overall it is a good product. I rate Tray.io a seven out of ten.