Whether it is a traditional bank, a corporate card startup, a shiny gen-z neobank, or a stock & crypto exchange… Every financial institution faces various types of risk that are tedious and costly, especially when mistakes are made.
To make fewer mistakes, financial institutions pass the hard work to their customers and impose heavily manual processes for each decision. They take time, cost money, and difficult to get right.
Unless, somebody builds a set of tools to make these risks much easier to manage? When fraudsters are becoming technologists, what if financials institutions can stay nimble and ahead? What if financial products can be actually safe and seamless to everyone who needs them?
Enabling, improving and accelerating teamwork in an industry where almost all business activities take the form of lengthy, multi-party collaboration.
Take a guess? It is real estate. Buying or selling a home is a massive project, where you need an agent to help you comb through all the moving pieces, which means the agents need to work with all these different parties on your behalf.
And the more people involved, the more complicated a project becomes…
Pricing is already hard. Now imagine you need to manage P&L at a shop where they calculate prices with an algorithm that not only changes prices every 4 hours, but also drops prices as customers add items to carts in real time. Sheesh, that is a mouthful, but understanding how all the maths works is even more mentally taxing, especially when you have 1,000 other things to pay attention to.
Yes, all you need is a tool that can help you do your job, by letting you understand how any item is priced at the shop within 10 seconds. Oh did I say it also should be beautifully designed?
Let’s say you have this boutique coffee shop and you want to sell your very own pumpkin spice latte, but how do you price that? Sure, you can look at similar products out there and…maybe mark it up by $2? Or down by $2? But wait, you actually need to think about brand perception, profitability, price competitiveness, inventory…all that fun
You decide to just pick a price and go with it, but what if there is a BETTER price?
Well, here is a Machine Learning Optimization System that explores and finds the best price, at any time. Is it possible? In simple terms, you set up inputs like customer interests, and then you tell this system to find you the best price that maximizes you PSL’s business performance, whatever that means.
Done.