Shoppers who can't find the right product leave. Good recommendations and search show each shopper what they're most likely to want, at the right moment.
Codersarts builds AI product recommendations and search that use your catalog and shopper behavior, and measures whether they actually increase revenue.
What Are AI Product Recommendations?
AI product recommendations use machine learning on product data and shopper behavior to suggest relevant items: similar products, frequently bought together, recently viewed, trending and personalized picks. Modern search adds semantic understanding, so shoppers find products even when they use different words.
Who This Is For
Stores with large catalogs
Fashion, beauty and home brands
Marketplaces with many sellers
Grocery and repeat-purchase stores
Stores with high search exit rates
What We Build
Similar products
Based on attributes, images and text.
Frequently bought together
From order history, for bundles and cart upsells.
Personalized pages
Home and category pages ranked per shopper.
Smart search
Semantic search, typo tolerance and synonyms.
Email and push
Recommendations in abandoned cart and replenishment messages.
Merchandising controls
Boost, bury and pin rules for your team.
Measurement
A/B tests on revenue per visitor and order value.
Build vs Buy
Option | Best for | Trade-offs |
|---|---|---|
Platform apps | Quick start on Shopify | Limited control and monthly fees |
Search and recommendation services (e.g. Algolia) | Fast, proven relevance | Usage-based cost |
Custom models | Large catalogs or unique data | Needs data and maintenance |
Common Problems We Fix
Problem | Usual cause | Fix |
|---|---|---|
Searches return nothing | Keyword-only search | |
Same recommendations for everyone | No personalization | |
Recommendations slow pages | Heavy client scripts | |
No idea if it works | No A/B testing |
How Much Do AI Recommendations Cost?
Cost depends on catalog size, data available, channels and whether you use a service or custom models.
Scope | Typical timeline | Typical cost |
|---|---|---|
Recommendations with a service | 3 to 6 weeks | $6,000 to $20,000 |
Search and recommendations with A/B testing | 6 to 12 weeks | $20,000 to $50,000 |
Custom personalization engine | 3 to 6 months | $50,000 to $150,000 |
What changes the cost: catalog size, behavior data, channels, real-time needs, merchandising tools and testing.
Ranges are typical for a global team. Your price is fixed after scoping, before any work starts.
Ways to Start Small
Starting point | Best for | From |
|---|---|---|
Testing recommendations on your data | Fixed price | |
A ranked bug list for an existing platform | $199 | |
Ongoing fixes with a fixed budget | $290 for 10 hours |
How We Work
Analyze. Catalog, behavior data and goals.
Choose. Service, custom or hybrid.
Build. Recommendations, search and controls.
Integrate. Store pages, emails and apps.
Test. A/B test against current experience.
Improve. Tune from results.
What You Receive
Recommendation and search features
Merchandising controls
A/B test results
Performance-safe implementation
Documentation and code ownership
Example Engagement: Bought-Together Recommendations
An illustrative example based on the pattern we see most often. Client details are kept confidential.
The situation: A home goods store had a large catalog but low order values.
What we did:
Built frequently bought together and similar items from order history
Added recommendations to product pages and cart
A/B tested against the old store
The result: Average order value increased in the test group, and the feature rolled out store-wide.
Mistakes to Avoid
Launching without A/B testing
Recommending out-of-stock items
Slowing pages with heavy widgets
No controls for merchandisers
Why Codersarts
Platform, custom and headless experience in one team
Speed, SEO and conversion treated as engineering work
Fixed-price tasks for small jobs, so you can start without a large contract
Payments, security and integrations handled properly
You own all code, data and accounts
Frequently Asked Questions
Do we need a lot of data?
Similar-item recommendations work from catalog data; personalization improves with more behavior data.
Can it work on Shopify?
Yes, through apps, services or a custom app.
How do we know it works?
A/B tests on revenue per visitor and order value.
How much does it cost?
Using a service typically costs $6,000 to $20,000 to implement.
Related Pages
Ecommerce website development: the store around recommendations.
AI development: AI beyond ecommerce.
Ecommerce solutions: every ecommerce service in one place.
Show Every Shopper the Right Products
Tell us about your catalog and traffic, and we'll plan recommendations that pay for themselves.