I want to take a moment to explain our approach to implementing solutions using our platform and framework of The Manufactured Solution. It’s too many folks out there always talking about how they begging for money or funding, talking about what they aim to achieve, and these generic fluff articles with a picture of them smiling when all I’m looking at is someone who ain’t got anything to show for but wants you to know who they are.

I love the position I am in for my business and this is how you are supposed to move in the game. Business isn’t a socialite endeavor – rich folks don’t care if you know who they are or not. Business is about creating value to exchange value with your customers where both sides benefits. We see these characters talking too many years about doing everything except delivering value.

Another good position is I’m 100% in control. I don’t have anybody telling me how to do anything or have anything over my head to tell me what I can and cannot do. That is critical because, in any startup or the tech landscape, you going to have to adjust and pivot and, in most cases, reinvent your whole model and approach. When these clowns ask for VC funding, they cannot switch up on someone who put money into their startup and they end up stuck and obsolete real fast.

There is only one way – you have to 100% own your story and journey. You have to be agile and flexible and have to tear everything down and build better and new if you have to. The only way you can do this is to make sure nobody is in the way of your goals. So this allows me to think about global markets without any clowns telling me how big I can go and how far I can scale up. This is very important, especially as a Black person, you get everybody out of the way before even thinking about moving forward or you will always get caught up and tripping over traps people set up to make sure you don’t succeed.

I can focus on our solution approach and can explain how we plan to implement The Manufactured Solution. Our solution approach is a 3-phase approach. First, we collect attribute data. Second, we collect activities. Third, we analyze attributes and activity using data science in a continuous improvement manner.

Collect Attribute Data

The first step is to enter data about people and entities into our platforms. A Kossier user id is created once a person enters their display name and email address. A digital-first business entity is created by entering attributes such as business name, business formation type, and other business attributes. E-commerce such as our PSS platform is where a business enters products and services and pricing and tax tables. So this is what our platforms like View the Vista, Merchant and the Flow, Stony|Ellis does – these platforms primarily allow you to enter the initial attributes. That’s pretty much how to get started.  

Collect Activity

After you enter the initial information using our platform sites, the next step is we need activity against the attributes. If you have products, the activity is the wholesale purchase, inventory, and selling of the product that is recorded as data and logged. When a customer check-in a business, that activity is captured as well. The goal is to start collecting activities so we can have real data and information on what is happening with our clients. The strategy is to know what to collect and our common practice is to record events and log the events – a technique known as event sourcing. This helps us analyze information easier when it comes to sifting through the data lake.

Please note an important fact – our platform will automatically know how to kickstart activity. That means if you created a ghost kitchen, we can promote that ghost kitchen throughout our ecosystem to relevant potential customers. I believe Shopify has some of these features but they charge a lot for their monthly rate. We can automatically set up the SMS alerts of the tracking status of an order, we can ask for ratings and reviews, we can recommend to a customer who eats at similar ghost kitchens - all of this is the activity we create to help kickstart a new business just like how YouTube can recommend a video to make it go viral.

This is what we can do using data-driven methodologies while cornballs are trying to write up articles that only have low-rate impression value that someone may gloss over. LOL, these characters think publishing write-ups is how you boost a small business and only talking about Pinky Cole and Slutty Vegan all the time - nah, we work with every startup and work every business in our ecosystem.

Analyze Collected Data

This is the main part and how we grow our business and our relationship with our customers. We analyze and use machine learning and data science to learn patterns to help those within our ecosystem. We make recommendations to customers on businesses that are relevant to them. We help businesses by informing them of patterns that should be improved or are trending to help them focus on the real metrics.

It is important to note something - our goal is based on the type of entity that a person creates. If a person creates a coupon promotion platform, then we can help expand their business globally by translating and localizing their platform to other parts of the world and have our local people get it running as well. If they are a drop-culture fashion shop, we help work with spaces in a local area to help them host a drop culture event and manage a newsletter and social media postings to alert existing customers we identified through Kossier usage to help spread the word of mouth. We analyze data to help our customers get bigger and better.

So we help businesses get out there to the people, we help them sell to a bigger audience, and we help them realize if they trending towards profits or trending towards loss. Our machine learning teaches up the landscape and environment so helps give insight on how to get better or turn things around. So we use the collected data to help our customers get better. At this point, we begin a continuous improvement relationship with our customers.

With that Said...

I think I said this before – it’s a lot of talking folks out here who just bumping gums about their startup but they up their begging other folks for money to be validated and accepted. Then their sellout behind wants you to admire and respect their cornball behind. But what they are frustrated about is you brothas and sistas ain’t respecting what they about because yall know they are sellout cornballs. They want to talk money and numbers like that impresses us, but it doesn’t.

Notice, I don’t talk about money – I talk about solutions. My company name has “solution” in it. See when you focus on solutions and value creation, the money is already there. That’s the difference between me and them. I have something that actually helps my customers. Those folks over there got gimmicks and want you to admire them as the entrepreneur person they want you to like. I can stay behind the scenes and deliver value my customers around the world will pay for and I just collect the revenue for the empire to grow and expand.

So overall this is a rinse and repeat operation. Customers provide attributes whether it’s the product or business details, we kickstart and record activity, and we analyze that activity using data science to work with our customers to continuously improve. That’s how data-driven services work. We bill, we get paid. No begging folks who ain’t got nothing to do with the daily operation – just handling ours and providing solutions.

This is our solution process.