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Ecommerce

Product Recommendation Personalization with AI

Generates real-time personalized product recommendations based on browsing and purchase behavior. Helps increase average order value and encourages repeat purchases.

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RetailE-commerceWebshopD2C

At a glance

Up to 8 hours/week

time saving

Up to 7x within 3 months

expected ROI

Live in 3 weeks

from intake to production

GDPR-compliant

EU hosting & human-in-the-loop

Time savings and ROI are indicative and depend on your process, data and volume.

Before & after

From manual to automatic

Without AI Agent

Generic "others also bought" blocks miss conversion opportunities

  • Static recommendation blocks show the same popular products to everyone, regardless of individual behavior and preferences.
  • Customers see products they already looked at or bought again recommended — that feels annoying and inhibits conversion.
  • Cross-sell and upsell opportunities are missed because recommendations don't match the current purchase context.
With Product Recommendation Personalization

Dynamic recommendations that grow with each customer's behavior

  • Analyzes real-time browsing and purchase behavior per visitor and immediately generates relevant product recommendations for product pages, shopping cart and emails.
  • Combines individual behavior with collaborative filtering: what do similar customers buy with this product?
  • Adapts recommendations to inventory, margins and promotion priorities you set yourself.
  • All behavioral data is processed in compliance with GDPR and stored on EU servers within the Netherlands.

Workflow

How it works

See how the agent moves through the process step by step — you stay in control of every decision.

Workflow in action

Product Recommendation Personalization · Real-time product recommendations based on customer behavior

Collect behavioral data

api

Browse- en aankoopgedrag meten

Build customer profile

analysis

Klantprofiel opbouwen

Generate recommendations

data

Relevante producten selecteren

Display on website & email

output

Tonen op website en in email

Measure & optimize results

api

Resultaten meten en verbeteren

0

Steps completed

5

Total steps

What it delivers

Higher order value and more repeat purchases

Personalization based on behavior works better than generic algorithms. Customers see products that match their specific interest and buying pattern, increasing the likelihood of an additional purchase. The result: more revenue per visitor without extra acquisition costs.

+15-20%
Average order value

from relevant cross-selling and upselling

+30%
Repeat purchases

from personalized follow-up email with recommendations

3-5x higher
Click-through rate

than generic recommendation blocks

Figures are indicative and depend on your processes and volume.

Integrations

Works with your software

Integreert als laag bovenop je bestaande webshop-platform en marketingtools voor naadloze personalisatie op alle klantcontactpunten.

Webshop Platformen

WooCommerceShopifyLightspeedMagentoBigCommerce

Email & Marketing

KlaviyoMailchimpActiveCampaignBrevoSpotler

Analytics & Data

Google Analytics 4Meta PixelSegmentMixpanel

PIM & Productdata

AkeneoChannableShopify PIMCSV/API feed
Frequently asked questions

Frequently asked questions

How does the agent generate recommendations, and does it work for smaller webshops too?

The agent analyzes a shopper's real-time browsing and purchase behavior and combines it with collaborative filtering — what similar customers buy — to generate personalized recommendations on product pages, in the cart and in emails. It works effectively from a few hundred products and a few thousand monthly visitors; with limited behavioral data it falls back on popular products per category so recommendations are never empty.

What does this agent cost?

Standard agents like this one start from €2,500; a custom implementation tailored to your systems starts from €5,000. You can start with a free AI scan to see which quick wins apply to your business.

How long does implementation take?

Implementation typically takes about 3 weeks, including connecting your webshop platform and marketing tools and configuring your promotion rules.

How is customer behavioral data handled in compliance with GDPR?

Behavioral data is pseudonymized and processed on EU servers, and we can sign a data processing agreement. Cookie consent is respected: anonymous visitors receive category-based recommendations, while logged-in customers with consent receive personalized ones.

Which platforms does the agent integrate with?

The agent integrates with webshop platforms such as WooCommerce, Shopify and Lightspeed, and with email and marketing tools like Klaviyo, Mailchimp and ActiveCampaign — so recommendations also appear in order confirmations and abandoned-cart emails, generated at send time so they stay current and in stock.

Can we control which products get priority in recommendations?

Yes, you set the rules: products with higher margins can get priority, out-of-stock items are excluded, and seasonal products can be highlighted temporarily. The agent combines these rules with the behavioral algorithm, so promotions stay under your control.

How do we measure impact, and can the setup be adjusted later?

You can track impact through reports on impressions, click rate, conversion rate and attributable revenue per recommendation block, and set up A/B tests to compare algorithms. We monitor performance and adjust the setup if a connected platform changes its API.

No matching agent? Have a custom AI agent built

Your process is unique. We build AI agents tailored to your workflow, integrations and goals. Contact us for a free intake.

Erwin Berkouwer, founder of UnifyAI

You work directly with Erwin Berkouwer, founder of UnifyAI — no account managers or junior consultants in between.

Erwin has 8+ years of experience in data and AI (banking, retail, e-commerce) and applies the same AI automation internally that he builds for clients. Per project he brings in the right specialist from his network.

Read more about Erwin and the way we work

Get started with Product Recommendation Personalization

Book a free 30-minute intake. We analyse your situation and put together a tailored proposal.

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