Pricing and Revenue Management Solutions for OEMs.

Pricing and Revenue Management Solutions for OEMs.

The ChallengeI need my inventory to enable our dealer network to succeed

Inventory Optimization

It’s the inventory butterfly effect. Despite the best decision made with the data on hand, there’s a ton of leftover inventory at your dealers. The painful solution is to throw money at the customers in the way of cashback. Ok, great – now those models are moving, but at the cost of the perceived value, resale value and arguably the worst side-effect: you’re now hurting the next model year’s sales. Get ready to rinse and repeat. It’s a cyclical issue that starts when you get inventory allocation wrong. There’s simply no room to be wrong when it comes to distributing your vehicles and it’s unfair for anyone to expect you to know exactly what the future holds.

What if you did know – by and large – what the future did hold? That you could accurately allocate the right vehicle to the right market at the right time. Inventory allocation issues would disappear, dealers would be happier than ever seeing the right level of days supply and making room for the new, hot sellers. Reliance on low-margin fleet sales is a thing of the past. Even better, you’re no longer stuck in this cycle of increasing incentives on aging models at the expense of cannibalizing the newer, margin-rich models.

How is this possible?

It starts with extracting and normalizing sales data and segmenting model types and regional buyer behavior. It starts with improving your ability to predict demand by leveraging technology that allows you to assess thousands of forecast techniques and find what works best for your unique situation. Further advanced analytics are required to determine what combinations of vehicle/option packages will most efficiently address demand trends and seasonal patterns. Then you need to predict what the optimal inventory make-up is for each different type of dealer. Once these markers have been established, prescriptive analytics are applied to recommend allocations across regions and markets based on the production totals you’ve been assigned to distribute. Learning season after season, year after year, the solution evolves and helps your team continuously improve inventory decisions and allocations.

But are these suggestions business reasonable and executable?

Our hybrid approach means that this isn’t just blind math – we blend human intelligence with artificial intelligence to ensure this passes not only a gut-check but aligns to your business strategy. Backed by years of industry expertise and powered by machine learning, you can rest easy knowing that the results of the solution are to be trusted and true.

Why are these flexible solutions so widely adopted by our customers – both users and stakeholders?

The key is an inclusive, collaborative approach from the beginning involving Revenue Managers, Pricing and Product Planning Experts, IT, Strategy and Executive Leadership to ensure we have total alignment on a solution that is right for your business. The Revenue Analytics A2E2 approach ensures that key functions and stakeholders buy in from the start, drive adoption and become advocates on your behalf.

Unlike alternatives, the Revenue Analytics SaaS platform delivers ongoing value and isn’t merely a snapshot in time. The Managed Analytics Service complements our SaaS offering, evolving with your changing needs and competitive market dynamics. This isn’t customer service or tech support, but genuine Atlanta-based PhD mathematicians who understand your business. They keep keen watch over your models and effectively become an extension of your team. Their recommendations ensure that not only does the math make sense, but that the real-world use also rings true.

Getting started is easy – it’s a 15-minute discovery call.

The ChallengeI need to take the guesswork out of setting MSRPs

Portfolio MSRP Optimization

This is just ridiculous. You spent how many months analyzing data after spending months requesting, re-requesting – and eventually begging for the data you needed to provide MSRP recommendations for the next model year…only to have your findings refuted by various sections of the business who don’t think your data tells the whole story and that their side of the argument hasn’t been heard? Executive leadership is counting on you to nail pricing this year and move the needle for the business. Is there a higher-pressure, more aggravating process known to man?

There must be a better way.

This is the year pricing moves the needle.

What if there was no longer guessing involved around what data should be or was used? Imagine a MSRP planning season where instead of each team fighting for its own analysis, you had one central system of record that everyone believed in – because they were part of the process from the start. Using Predictive Analytics, you’d be able to quickly run the seemingly endless number of “what if” scenarios the various business units want to consider and ingest an output that provided a definitive direction to which everyone can align. Perhaps best of all, you’d be able to eliminate wasted time doing countless one-off analyses – and instead use your pricing strategy to drive revenue.

How is this possible?

We use sophisticated algorithms to consolidate and cleanse years’ worth of your data, applying outlier and normalization techniques that prep the data for our Predictive Analytics Engine. Your data feeds into our platform where price elasticities are calculated and complex portfolio predictions interact with power our MSRP Optimizer. Your business units can now run hundreds of scenarios that let you efficiently determine the right MSRPs for each product in your portfolio.

But are these suggestions business reasonable and executable? Our hybrid approach means that this isn’t just blind math – we blend human intelligence with artificial intelligence to ensure this passes not only a gut-check but aligns to your business strategy. Backed by years of industry expertise and powered by machine learning, you can rest easy knowing that the results of the solution are to be trusted and true.

Why are these flexible solutions so widely adopted by our customers - both users and stakeholders?

The key is an inclusive, collaborative approach from the beginning involving Finance, Sales, Marketing, Forecasting, Strategy, Product Development, IT, Manufacturing, Supply Chain, and Senior Executive Leadership to ensure we have total alignment on a solution that is right for your business. The Revenue Analytics A2E2 approach ensures that key functions and stakeholders buy in from the start, drive adoption, and become advocates on your behalf.

Additionally, unlike alternatives, the Revenue Analytics SaaS platform delivers ongoing value and isn’t merely a snapshot in time. The Managed Analytics Service complements our SaaS offering, evolving with your changing needs and competitive market dynamics. This isn’t customer service or tech support, but genuine Atlanta-based PhD mathematicians who understand your business. They keep keen watch over your models and effectively become an extension of your team. Their recommendations ensure that not only does the math make sense, but that the real-world use also rings true.

Getting started is easy – it’s a 15-minute discovery call.

The ChallengeI need to profitably comply with emissions regulations

Greenhouse Gas Optimization

As if the US Auto Market wasn’t difficult enough, regulation is making it feel like you can’t win. It seems that everything particularly profitable violates increasingly tough GHG, CAFE and ZEV standards. These feel nearly impossible to meet and you’re burning through credits at an alarming rate. The overabundance of scenarios to consider from business leaders across the company is making your head spin.

Should you build more small cars to earn credits to allow you to sell more big trucks – or cut the price of fuel-efficient engines – or maybe drop some models entirely? It seems like every function in the company is demanding to have their viewpoint reflected, even when some are at odds with each other.

What if you had one system of record to help you efficiently maximize profit while accounting for credit impacts? Now you’re able to run all the “what if” scenarios for the various business functions you want to consider, easily visualizing those scenarios and planning a strategy that ensures your compliance and ability to grows profits.

How is this possible?

Sophisticated algorithms take your transaction data, consolidate, normalize and cleanse it of outliers. Next, it’s fed to our Predictive Analytics Engine to show the future market dynamics of price changes across your portfolio. Since it’s your data in our platform, the choice is yours: allow your business units to manipulate hundreds of variables and visualize the results, or leverage our Optimization Engine to suggest optimized portfolios – or both.

But are these suggestions business reasonable and executable? Our hybrid approach means that this isn’t just blind math – we blend human intelligence with artificial intelligence to ensure results pass not only a gut-check but align to your business strategy. Backed by years of industry expertise and powered by machine learning, you can rest easy knowing that results are both dependable and actionable.

Why are such flexible solutions so widely adopted by our customers – both users and stakeholders?

The key is an inclusive, collaborative approach from the outset involving Finance, Sales, Marketing, Forecasting, Strategy, Product Development, IT, Manufacturing, Supply Chain, and Senior Executive Leadership to ensure we have total alignment on a solution that is right for your business. The Revenue Analytics A2E2 approach ensures that key functions and stakeholders buy in from the start, drive adoption and become advocates on your behalf.

Unlike alternatives, the Revenue Analytics SaaS platform delivers ongoing value and isn’t merely a snapshot in time. Our Managed Analytics Service complements our SaaS offering, evolving with your changing needs and competitive market dynamics. This isn’t customer service or tech support, but genuine Atlanta-based PhD mathematicians who understand your business. They keep keen watch over your models and effectively become an extension of your team. Their recommendations ensure that not only does the math make sense, but that the real-world use also rings true.

Getting started is easy – it’s a 15-minute discovery call.