Introducing our Personalized Product Recommendations AI
Cut through the noise: Add your stack and get software recommendations in 2 minutes
We get it — it’s like every day you’re getting pitched a different technology product or service. If it seems like there’s thousands of solutions out there for you to wade through, well — that’s because there are! Just look at this graphic from our friends at Martech tracking the growth of marketing technology solutions over the past few years (from ~150 in 2011 to >5,000 in 2017).
Now — multiply that by all the different roles at your company and the added complexity that all of that software needs to work well together and… you get the picture!
That’s why we decided to put our best-in-class data to good use, add a sprinkle of intelligence (our recommendations ML models leveraging on training data from the past 2 years), and launch our Personalized Product Recommendations AI.
If you’re one of the growing number of software buyers at your company, then this one’s for you. We want this to be your first stop when considering what new software to use — or even if you’re just looking to be surprised!
We want you to avoid having to wade through pages of years-old reviews and above all we want to help you avoid the feeling that your productivity would’ve been so much better if only you’d found “that one tool” earlier on.
So, what’s under the hood?
As I’m writing this, we have data on 32,817 products and whether they’re used and recommended at over 375,000 companies. These numbers are growing every single day.
Our recommendations engine/AI is actually several different machine-learning models consuming this and other metadata. If you go through our “Advanced” recommendations flow, we’re able to put more of these models to work for you and give you recommendations that are tailored to your company’s current tech stack, size, industry, geography, and membership in any particular groups (e.g. Fortune 500, or a startup accelerator like YC).
And here’s the coolest part: while the business tech landscape is only getting busier and messier, our recommendation engine gets better as it’s fed more data and learns about what products work for you.
What about software creators?
Our vision at Siftery is that through helping software buyers find the right solution for their needs, we can also help software creators more efficiently reach the right customers. If a new solution is on a hot streak, or becoming popular with companies of a certain size in a particular industry, we can immediately recommend it to companies that are a likely fit. If we can help get the right software into the right hands (or Git repos), then everybody wins.
Ready to take it for a spin?
