Greenscreens AI Review: Features, Integration and Pricing 2023

Greenscreens AI is a tool that delivers freight market pricing intelligence for logistics businesses. Before technology advanced, logistics reps had to calculate the cost of freight manually. They also had to do a lot of guesswork. 

For instance, they estimated the price of covering a load through gut feel. Another example is relying on guards for information. As a result, they’ve incurred losses and missed growth opportunities.

However, with Greenscreens AI, these shortcomings are lifted. Logistics businesses no longer have to rely on backward data or old tools. Instead, they can use this artificial intelligence tool to research, estimate, and analyze their buy and sell. This solution also provides users with predictive insights to make intelligent decisions. 

As we review Greenscreens AI, you’ll discover several loopholes the solution can fix for your logistics business. We’ll also review its pricing, policies, and more.

Greenscreens AI Overview

Greenscreens AI is a freight market pricing tool that helps logistics businesses make intelligent decisions. Freight refers to merchandise, goods, or products that we move from one place to another, while freight pricing is the cost of moving them. 

Every freight deal has a carrier, customer, and, often, a broker. The customer requests the movement of their load while the carrier is responsible for transporting them. As you may have guessed, the broker is the middleman that connects both parties.

However, Greenscreens AI minimizes the need for brokers. Thus, carriers can send quotes to customers directly and effortlessly. Freight market pricing has long been a concern for businesses because it is one of the trickiest predictions. 

In addition, it has the power to impact results. Carriers consider several factors when pricing freight. They are the cargo dimension, weight, destination, delivery speed, and economic conditions.

Alongside these factors, Greenscreens AI considers the current market conditions and provides both parties with a network rate. The network rate is based on Greenscreens AI’s intelligence engine and real-time data. Carriers and customers can leverage this data for a better pricing model. In other words, the solution uses your company’s aggregated market data to provide personalized freight market pricing.

Greenscreens AI was founded in 2020 by Benjamin Gordon and Felix Lubashevskiy. However, a team of logistics veterans spearheaded the development and launch of the platform. Some notable names involved include Matthew Harding and Dawn Salvucci-Favier, the CEO. 

The company says its mission is to become the industry-leading platform for dynamic pricing. Its dedication to this is evident from the numerous integrations with other intelligent platforms and the response to its funding. Tiger Global Management, Jones Capital, and other investors fund Greenscreens AI, and its series A round in 2022 raised $5 million. 

• Established: 2020
• Founder: Benjamin Gordon and Felix Lubashevskiy 
• CEO: Dawn Salvucci-Favier
• Office: Greater Miami Area, East Coast, Southern US (Headquarters)

5 Core Features of Greenscreens AI

Expert Opinion

Rating: 4.8/5

Greenscreens AI is a freight market pricing infrastructure for logistics service providers (LSPs) and their customers.

Unlike most logistics management tools, we found Greenscreens AI very useful because of its pricing intelligence. The platform focuses on helping LSPs maximize profit, and customers negotiate better. 

While evaluating the platform, we noticed that Greenscreens Web has several features. Some notable ones include the ability to set custom pricing rules and view your pricing performance metrics. More importantly, the platform had tools that could function like Greenscreens Web through integration. 

We found this provision pretty intelligent for two reasons. First, Greenscreens AI is not a transport management system (TMS). Second, LSPs already using a TMS can execute the pricing infrastructure on their TMS.

Even more interesting to us is that Greenscreens already integrates with some of the popular TMS platforms. It partners with 3PL, MasterMind, etc. If you already use these platforms, you’ll not need to worry about integrating Greenscreens AI yourself. Also, apart from TMS, Greenscreens integrates with other data and automation platforms.

Apart from its pricing intelligence, another Greenscreens AI feature that caught our attention is its insights dashboard. With it, we could see pricing performance details, including monthly profit, revenue, and load. Users can also see their margin distribution, lanes chart, and customers’ information.

Interestingly, Greenscreens AI simplifies the onboarding process for prospects. Onboarding can take as little as three days. It claims to have a flat, monthly pricing model with no additional fees. However, it would be much better if the pricing details were on the website. 

Overall, Greenscreens AI is a solution worth trying. With its freight market pricing intelligence, LSPs can improve their pricing models.

Notable Features of Greenscreens AI

Greenscreens AI uses several tools and features to deliver its freight pricing intelligence. Besides its Greenscreens web, businesses can integrate its Supercharger and connect tools into their existing systems. Below is an overview of these tools and their features.

1. Greenscreens Web

Greenscreens Web is the all-encompassing platform for Greenscreens AI solutions. It embodies all the features that customers need to make intelligent pricing decisions. The platform gathers your historical buying and selling data and aggregated market data and combines them with your custom pricing rules. These are rules you set relative to your business goals to guide your pricing strategy.

This strategy provides you with accurate buy and sell price targets. Another top feature of Greenscreens Web is the history dashboard, which gives insights into your leading carriers and their bids within a timeframe. You can also request bids or send quotes as a carrier on the platform. Apart from these, you get your pricing performance metrics in real-time.

2. SuperCharger

The SuperCharger is one of Greenscreen’s AI solutions for businesses that prefer an integrated solution. Some companies already use transport management systems (TMS) and customer relationship management (CRM) software. Therefore, integrating SuperCharger into their systems makes data flow easier.

SuperCharger comprises all the operational features of Greenscreens Web. Therefore, you won’t have to change your core system or existing workflows. You can book businesses faster, send more quotes, and even get a win-loss pricing strategy analysis. Moreover, the platform can coach your reps, giving them facts they can use for price negotiation.

3. Greenscreens Insights

You can integrate Insights, another attractive Greenscreens AI solution, into your workflow. Its dashboard and metrics give you an overview of your organization’s pricing performance. This means customer and carrier reps do not have to worry about the efficiency of their buy and sell rates.

Insights provide them with pricing intelligence, trends, and analytics from its robust dashboards. For instance, companies can see their margin distributions and the reps to assign more loads to.

4. Rate Wizard

The Rate Wizard is the Greenscreen AI machine-learning engine. It enables custom rules and is the backbone behind the platform’s market intelligence. With it, businesses do not have to invest all their money in data scientists. 

The ML and custom rules engine is built on logistics market data and continually evolves in real-time. It is also trained on the company’s proprietary consortium data, which it gathered from several logistics bodies.

5. Connect

Connect is Greenscreens’ AI solution for linking logistics service providers’ (LSP’s) tech stack. It is an integration framework comprising several plug-ins and adapters. The company partners with other SaaS providers for authentication, lane rate prediction, etc.

As we’ll discuss in the next section, Connect APIs are well-documented and easy to install. Moreover, they offer pre-built real-time data sources for TMS and CRMs.

Greenscreens AI Integrations

Greenscreens AI integrates with several other solutions to broaden its value proposition. These solutions range from TMS to data and integration. Below are a few examples of its integrations.

1. 3PL Systems

In September this year, Greenscreens AI announced its integration with 3PL Systems. 3PL Systems is the provider of Brokerware, a TMS software for brokers. This integration adds Greenscreens AI lane rate prediction to the software. Therefore, brokers in the freight logistics industry can now compare lane rates without leaving Brokerware.

They also get access to Greenscreens AI prediction rate metrics: target and network rate. The target rate is based on the user’s historical data. It uses the user’s brokerage buying power to personalize rate predictions. The network rate, on the other hand, is based on data collected from the freight market. Brokers can use this feature to measure their pricing against the industry’s.

2. MasterMind

MasterMind is a transportation management system by Mastery Logistics Systems. The platform helps transportation businesses automate tasks. Greenscreens AI integration with MasterMind ensures that TMS users can access predictive freight rates on the platform.

They can leverage Greenscreens data for quoting, negotiating, and executing loads. In addition, they can provide customers with spot rates based on well-calculated confidence analyses.

3. Hubtek Tabi

Hubtek is a talent, technology, and training platform. It supercharges the growth of logistics service providers by managing their operating costs. In 2020, Hubtek launched its automated rate quoting platform, Tabi Connect. Since then, it has become widely known as an intelligent automation hub for logistics companies.

Its integration with Greenscreens AI will give users access to the platform’s real-time predictive pricing. With the predictive rate engine and automated rate quoting, customers can enjoy greater accuracy and speed while paying less.

Pricing and Plans

Greenscreens AI does not provide pricing information on its website nor offer a free trial. Instead, it lets interested users schedule a demo with its team. During the demo, you can experience Greenscreens AI yourself. You’ll get to speak with a representative and ask questions.

To book a demo, click the schedule a demo button. This will redirect you to a page where the website prompts you to input your details. Some of the information it requires is your personal and company name, work email address, phone number, and revenue data. Although the website lacks pricing information, Greenscreens AI assures prospects its fee is based on their business size.

Terms and Policies

Greenscreens AI’s terms of use state that its website is available to adults 18 and older. It also warns users to beware of infringing on intellectual property rights. In other words, you may not reproduce, modify, or store any of its information except in some legal cases. For instance, you may download and print some of its website pages for non-commercial use.

The platform’s privacy policy notifies users of the data it collects from them. This includes personal information like names, phone numbers, email addresses, etc. It also requests billing information for processing payments. Although the company protects your data, it may make it accessible to third parties for service provision. You can read more about its privacy policy here.

Customer Support

The company provides various customer support options for its users. These options range from support emails to customer success representatives, most of which will be finalized after onboarding. Non-users who want to reach the company can email support@greenscreens.ai or call +1(929)207-8375.

Greenscreens AI’s other customer support options include its resources center. The center comprises information about Greenscreens solutions and news. You can also browse its support database for help getting started, gathering data, and implementing some functionalities.

Conclusion

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Contributors: Adenike Omope (Technical Writer), Eyimofe Rhoda (Graphic Designer)