Turn your customer data into smarter sales
Starting from each customer’s purchase history and behavior, we automatically recommend the products best suited to them. With AI-powered sales, procurement and quote management, put the right product in front of the right customer at the right time.
| Recommended Product | Reason | Match |
|---|---|---|
| Front Brake Pad | Frequent buy · stock low | 96% |
| Oil Filter | Bought together | 92% |
| Rear Shock Absorber | Seasonal demand | 88% |
| Timing Belt Kit | New model fitment | 81% |
| Clutch Kit | Cross-sell | 77% |
The customer data you already have is your strongest sales tool.
Years of accumulated order, account and stock data sit idle in most companies. Vilyonix’s AI layer reads this data; it learns what each customer buys, how often and when. Then it automatically recommends the most relevant products to that customer — your sales team doesn’t guess, the system tells them.
The same intelligence works on the procurement side: it forecasts demand and suggests which product to buy, when and from which supplier. So sales, procurement and quoting all run on a single, data-driven brain.
AI runs your sales, procurement and quoting.
From customer data to recommendation, forecasting and automated processes — the whole flow in one layer.
Smart Customer Quote Management
Starting from each customer’s purchase history and behavior, it automatically offers the most suitable products as recommendations and quotes. The sales rep doesn’t wonder “what should I offer” — the system lists it with a match score.
AI-Powered Procurement
By analyzing demand and sales data, it suggests which product to buy, when and from which supplier. It produces a smart order list based on safety stock and past consumption.
AI-Powered Sales Management
It tracks sales trends, customer segments and performance; it surfaces declining customers, growing opportunities and risk early. The sales team is guided by data, not gut feel.
Demand Forecasting
It forecasts future demand from past sales and seasonal patterns. By basing stock planning and procurement on that forecast, you neither overcommit nor lose sales.
Cross-Sell & Up-Sell Suggestions
It automatically recommends complementary items frequently bought together and better upper alternatives in the quote/cart. It raises average basket size and unit sales.
Customer Segmentation & Behavior Analysis
It groups customers by purchase frequency, volume and product interest; it shows who is an opportunity and who is at risk of churn. It directs campaigns and quotes to the right segment.
More sales, less guessing, smarter stock.
Higher Conversion
When customers are offered products they truly need, quote acceptance rises.
Bigger Basket
Cross-sell and up-sell suggestions increase average order value.
Smart Stock
With demand forecasting you neither tie up excess stock nor miss a sale.
Faster Decisions
Procurement and sales decisions are made from data in seconds, not by intuition.
Retain Customers
Customers at risk of churn are caught early, so you act in time.
Works With Your Data
Your ERP and B4B data is enough; no extra data entry or new system required.
From your data to a recommendation, in four steps.
Read the Data
Order, account and stock data in the ERP and B4B is securely ingested; per-customer purchase history is derived.
Learn & Forecast
The model learns each customer’s behavior and overall demand; it forecasts future needs.
Recommend
Each customer gets product recommendations with a match score, and procurement gets a smart order list.
Act
Recommendations turn into quotes, orders and campaigns; results are measured and the model keeps improving.
Questions on your mind.
Do I need to enter new data for AI recommendations?
How accurate are the recommendations?
Will it replace my sales team?
How does it integrate with my B4B and ERP?
Start turning your data
into smarter sales.
Let’s discuss your current data and map out how the AI layer can add value to your sales and procurement.