Why AI and Goal-Based Planning?

Artificial Intelligence (AI) and goal-based planning go together like peanut butter and chocolate.  It really is an unbeatable combination.

When we first applied our goal-based planning process to a Value Engineering (VE) fund, we increased the returns by an additional 20% and we showed our client that they could either make that much more, by selecting different projects, or reduce their capital outlay by almost that much, and continue making the same overall savings.  

But for many companies, the main problem is not selecting from among a large number of VE opportunities.  It’s coming up with the cost-reduction opportunities in the first place.

Enter Artificial Intelligence.  Our Quanta AI seeks out the opportunities from among your many products or components, based on some obvious information (number of units you expect to sell after reducing the cost, types of components used, etc.) and some not-so-obvious ones, which for now remain proprietary.  We’ll take in whatever data you have though, and find opportunities.

But now you may have too many opportunities, and do not have the budget or people resources to implement them.  Enter goal-based planning.

We take all of the value engineering projects you have available, including some you may have started, add in those that Quanta AI has identified, mix in your available resources, set your targeted goals for savings, and out comes a scheduled list of projects.  If you include uncertainty in your forecasts for one or more of the projects (maybe sales will be below/above target, or cost savings will be below/above estimated, or the project takes longer than expected), we show you the uncertainty across your entire portfolio of VE projects.

Now that you know which projects to pursue and what their total  risk-adjusted outcome should be, you can start working on addressing some of the constraints that are keeping you from saving even more.  Perhaps you add more capital to your internal VE fund, hire additional people to implement the projects, or we can help you identify outside resources for the implementation phase, while your internal development teams focus on new products.

Once we help get your fund set up, and Quanta AI scouring your product and components list for opportunities, we know you’ll agree that AI and Goal-based Planning belong together.  #QuantaAI

npv100 software improves the value of your company 100X!!

HOUSTON, Texas, April 1, 2017 — Mark Streich, the founder of npv10 (http://npv10.com), and acknowledged “2nd Funniest Man in Houston,” chose April 1st to announce the latest version of the integrated strategic planning software, npv100™.  Their current release, npv10, typically improves the value of a company’s plans by 10-20%, but Mark knew that growth companies really wanted to shoot for 100X growth, and the new version does just that.

“With npv100, you’re going to see how your company can grow from where it is today to 100 times that size at some point in the future,” explained Streich.  The desktop application uses advanced optimization to select and amplify your available options, taking into account your unrealistic expectations, and onerous constraints, to develop a plan that takes your company into the stratosphere, if you’re SpaceX.

About npv10

npv10 is a startup founded by Mark Streich in Houston, Texas.  The npv10 application is currently the company’s main product (www.npv10.com).


Mark Streich
Contact Us

Hello world!

It is finally time to hang my shingle out, and let the world know what I have been up to for the last 5 months.

I’ve been attempting to solve that formula at the top of the page…

Okay, that’s actually just PART of the formula.  The actual formula is far longer, and it is just one of many other formulas that must be created and calculated.  This goes part of the way towards explaining why not everyone is doing this. It is not easy.  But solving thousands of simultaneous equations is not what I am ultimately trying to accomplish.

I am making it far easier for companies to quickly evaluate their strategic alternatives, in terms of financial and operational performance.

As the software progresses, I will share more details.

For now, just know the answer to the equation was 728. That wasn’t so hard, was it?