Demo an AI Powered Recommendation Engine
Imagine having custom artificial intelligence and machine learning systems that fit your data, workflows, and channels. Our team has developed AI-powered recommendation engines that don’t just predict what customers might buy, it tells you exactly what they SHOULD buy allowing sales teams to turn every conversation into a valuable opportunity.
These engines are highly customizable beyond what this demo shows and are able to adapt to new use cases and functions depending on your needs.
This demo is just a starting point. Yours will be custom designed for your specific use case.
The Challenge
You’re Missing Revenue Because You Can’t See Every Opportunity
If you’re still relying on static ERP rules, spreadsheets, or gut instinct to decide what to recommend, you already know how limiting that feels.
Your catalog is too complex to memorize, your data is scattered across systems, and even your best reps can’t spot every chance in the moment. That means cross-sells go unsuggested, attach rates stay flat, and customers don’t feel like you really understand their needs.
In the end, those blind spots don’t just cost you sales today. They slow your team down, frustrate your customers, and leave money on the table that your competitors are ready to take.
The Solution
AI Turns Every Interaction Into a Revenue Opportunity
Our AI Recommendation Engines learn from your data, your catalog, your transactions, your business rules and adapts in real time. Instead of hoping a rep remembers the right bundle, you’ll get targeted, explainable suggestions delivered inside the systems you already use.
This isn’t a black-box. Each recommendation comes with the “why” so your reps can sell with confidence and your customers feel understood.
The result for you? Higher order values, faster sales cycles, new reps performing like veterans, and a competitive advantage no static rules or spreadsheets could ever deliver.
“If one rep adds $50k in new revenue potential to a single account and that happens across every rep, every account that’s millions in new revenue we’ve been leaving on the table.“
Navigate Challenging Competitive Sales Landscapes with Bespoke AI Development That Suggests Products, Services, and Content
Through the use of algorithms and data sets, we can build a recommendation engine that will allow you to personalize your offerings to individual customers automatically, leading to better relationships and shorter sales cycles.
We have a demo that we think you should see. It can be added onto and changed to fit your specific use case, but in the current configuration it shows how a similar AI system can solve three problems, allowing your sellers to operate with context, precision, and confidence.
Limited Customer Insight
It’s difficult to understand customer needs without direct customer access.
Our recommendation engine demo shows you how we can implement an AI solution that gives your sales reps and vendors customer-specific intelligence even without the customer standing right in front of them.
Inconsistent Selling
Fragmented experiences and resource-intensive product education is often required with distributor-led selling.
This demo uses AI to capitalize on cross-selling opportunities you will also be systemizing best practices between internal and external sales teams.
Lack of Differentiation
In markets with similar products, it’s tough to stand out in a durable way.
In our demonstration, you will get a better idea of how machine learning powered tools will give your team data-driven guidance that’s going to be nearly impossible for anyone to copy.
See a Solution in Action
Try the demo and see how our AI gives your teams the precise insights they need to transform your sales process into a precision revenue engine that captures market share.
From Demo to Custom Solution
The demo you’ll see is just a starting point. It’s a simplified example showing how an AI recommendation engine works.
The AI solution we build for your business will be fully customized to your world, data, business processes, and needs.
Tailored to Your Product Catalog
Every recommendation engine we deliver is trained on your specific products, services, or content — ensuring the AI speaks the language of your business.
Aligned to Your Sales Workflows
Whether your team sells directly, through distributors, or across multiple channels, we configure the engine to slot naturally into your existing process.
Flexible Across Use Cases
Need to boost cross-sell performance? Improve upsells? Personalize customer experiences? The same core technology can be adapted to different goals and sales models.
Why We Build AI Solutions That Feel Familiar From the First Click
It’s important that AI solutions feel natural and intuitive, so that sales teams can focus on customer relationships, not systems. The custom recommendation engines we build provide personalized suggestions in real-time.
As you will see in the demo, they also develop approaches to selling for your sales team to put to use immediately, helping boost conversions while delivering a smooth experience for your users.
This native feeling application of AI has three main benefits:
Larger Orders, Same Effort
Our AI and ML solutions take a hybrid approach to solving problems, fusing the best parts of technology based intelligence with your domain expertise to deliver highly accurate results over a huge breadth of use cases.
The model in this recommendation engine demo analyzes hundreds of thousands of previous transactions to learn what products are purchased together.
That combined with a custom trained neural network that discovers non-obvious product affinities, and expert domain expertise allows the system to generate suggestions that lift AOV and attach rates for every order.
Faster, More Confident Selling
Your sales teams and partners need to know more than what to sell. They need to know WHY they should sell it.
Our AI Recommendation engine produces suggestions that come with explanations based on each individual customers order history, and company-wide transaction data.
It arms your sales teams with the context needed to sell with confidence that your customers will feel.
Zero-friction Rollout
One of the main goals we strive for is to have our AI systems feel natural and not disruptive. We believe the tools we create should positively add to your operates, not thrash existing processes.
This demo shows how our solutions drive frictionless adoption by having the AI recommendation engine meet your teams in the tools they already use.
This unique approach produces positive, measurable impact without retraining training or changing processes.
We Create Intelligent, Custom Solutions that Drive Revenue and
Profitability
The demo we’d like you to try is designed to benefit a business like yours in three ways.
Increase Average Order Value
Our AI uncovers profitable cross-selling opportunities from thousands of purchasing patterns that your team would never find manually.
Improve Sales Cycle Efficiency
By reducing guesswork, your sales teams can focus on building relationships while the AI does the heavy lifting.
Improve Customer Experience
Your customers will appreciate suggestions and recommendations that feel natural, helpful, and valuable regardless if they are purchasing directly or through a partner.
AI Tools That Deliver Actionable Insight You Can Use Immediately
Each recommendation in this demo includes the rationale (co-purchase frequency, compatibility, or project context) so reps and distributors can immediately get the insight they need.
Keep in mind, these can all change depending on the context of your business and what kind of advice is most helpful to your sales team.
How This Solution Works
Our recommendation engine demo implements a sophisticated hybrid approach that combines three distinct AI/ML approach to generate balanced, actionable insights with highly accurate cross-selling suggestions.
Smart Cross-Selling Suggestions
Historical purchasing patterns combined with neural network discovery, and business-logic constraints match and recommend items for cross-selling opportunities leveraging a data-driven, multi-phase approach.
Actionable Insights
Just telling someone what to sell isn’t very valuable if they don’t understand why to sell it.
Our system analyzes individual purchasing habits to uncover hidden connections and understand the triggers behind their decisions.
This gives your team powerful, customer-specific information to use, helping them sell in ways that resonate deeply with the customer’s needs and motivations.
Room Based Recommendations
Our tool helps your teams and distributors make more relevant sales recommendations by learning what specific rooms customers are working in.
By providing details on their project location, you gain a deeper insight into their needs, making your suggestions more relevant, targeted, and easier to act on.
API Integration
Our tool uses an API to integrate with your existing systems and processes, giving your sales teams and channel partners recommendations in the tools they are already using and are familiar with.
This means no retraining. It is ready to just bolt on and start working.
Three Reasons To Consider A Custom AI Recommendation Engine
If after you try our demo you are still on the fence, here’s three things to think about.
Higher Re-engagement
Personalized recommendations can increase the likelihood that a customer will return to a store by 37%, compared to 19% for those who do not click on recommendations.
75% Conversion Boost
75% of consumers are more likely to make a purchase when they receive personalized recommendations.
35% of Sales
Amazon uses AI to personalize the shopping experience for users on its site and attributes 35% of its sales to its recommendation system.
While Your Competitor’s Wing It, You’ll Win It with Custom AI.
Let’s start a conversation now and design a custom system that makes your sellers unreasonably effective.