AI product recommendations
We use purchase history, your catalog, and customer behavior to suggest relevant products at each touchpoint.
When the catalog outgrows customer attention
The more products you offer, the harder it is for customers to find a good fit.
Salespeople offer what they remember rather than what may interest each customer.
The history is there, but nobody turns it into useful suggestions.
Complementary products are overlooked when they would be most relevant.
Our approach
The quality of each suggestion depends on the amount and quality of available information.
Possibilities
These are examples. Available touchpoints depend on each company's operations and data.
Suggest products based on what a customer is viewing or has bought before.
Give salespeople relevant products to suggest during each conversation.
Send messages featuring products related to each person's history.
Present items often bought together when they are relevant.
Group related products to make browsing easier.
Safeguards
We define carefully which information can be used and how.
We only use information your company is allowed to use.
Your team can monitor suggestions and correct those that miss the mark.
Useful recommendations depend on organized, current information.
How we work
Step 1
Review the catalog, customer history, and other available information.
Step 2
Select the touchpoint and recommendation criteria.
Step 3
Develop recommendations and validate them with your team.
Step 4
Observe real use and adjust the criteria.
Who it is for
Usually a catalog and purchase or interaction history. We assess the minimum requirements during the initial review.
They support decisions, with team oversight. We define the criteria and limits with your company.
That depends on your operations and tools. We identify feasible touchpoints during the assessment.
Both depend on scope and available data. Vendaz does not publish prices on the site; we provide a timeline and proposal after the assessment.
Tell us how your catalog and customer service work. We will assess a recommendation project and prepare a proposal.
Reduce manual work and move faster with AI tailored to your business context.
Use data and analysis to understand the market, focus on opportunities, and make better decisions.
Software built around workflows that off-the-shelf tools cannot handle.
