Salla Ultimate Guide

AlFinder Dashboard Guide

Everything you need to know to use the AlFinder dashboard on Salla โ€” step by step, with real screenshots.

๐Ÿ 
Section 1

Dashboard Overview

Your real-time snapshot of AlFinder's performance across your store.

dashboard.alfinder.ai
Dashboard Overview

AlFinder Script Status

The toggle at the top of the page controls whether AlFinder is active on your storefront. Turn it on to activate search and recommendations. Turn it off to pause AlFinder without losing any settings.

Performance Metrics

Six cards show your key numbers: total revenue contribution, recommendations revenue, conversion rate, products purchased, search operations in the last 7 days, and top/negative search keywords. Click any card to see more detail.

Best Performing Products

A ranked list of the products customers discovered and purchased through AlFinder.

Store Products

Shows how many products are synced with AlFinder. Click 'View All Products' to browse the full catalog.

Download Dashboard

Use the download button at the top left to export your dashboard data as a report.

๐Ÿ’ก
Section 3

Recommendations

Configure product suggestions across your homepage, product pages, and cart.

dashboard.alfinder.ai
Recommendations

Homepage Recommendations

Control all recommendation blocks shown on your homepage. Click 'Add New Recommendations' to create a block, set its title and product logic, then save.

Product Page Recommendations

Add 'You May Also Like' or 'Customers Also Viewed' sections to individual product pages. Click 'Add New Recommendations' and configure the block.

Cart Recommendations

Recommend products when customers view their cart to encourage add-ons before checkout. Click 'Add New Recommendations' to create a block.

Settings

Toggle 'Show Out-of-Stock Products in Recommendations' to include or exclude unavailable products from all recommendation blocks.

๐Ÿ”—
Section 4

Manual Recommendations

Define product relationships manually to control exactly what gets recommended alongside each product.

dashboard.alfinder.ai
Manual Recommendations

Related Products

Click 'Add Related Products', search for the primary product, select the products to link it to, and save.

Complementary Products

Link products that work well together and are likely to be purchased as a set.

Fixed Products

Pin specific products permanently in a recommendation slot, regardless of what the AI would otherwise suggest.

Related Categories

Link categories together for cross-category recommendations.

Bulk Upload

Use the 'Upload CSV File' tab on any of the four tabs to upload relationships in bulk. Use the 'Download' button to export existing data first.

๐Ÿ“Š
Section 5

Analytics

View AlFinder's revenue and performance data over any custom time period.

dashboard.alfinder.ai
Analytics
1

Enter a Start Date and End Date using the date pickers.

2

Click 'Apply Filter' to load the data for that period.

3

Review the performance metrics shown on the page.

4

Click 'Download Analytics' at the top left to export the data as a file.

๐Ÿ“ˆ
Section 6

Search Analytics

Understand how customers are using search โ€” what's working and what's not.

dashboard.alfinder.ai
Search Analytics

Search Operations (Last 7 Days)

Total number of searches performed in the past week.

Total Search Revenue Contribution

Revenue attributed to search interactions since you joined AlFinder.

Positive Keywords

Keywords that successfully led customers to products they engaged with. These confirm your catalog is well-matched to demand.

Negative Keywords

Keywords where customers searched but found no useful results. Use these to improve product titles or add synonyms in Search Customization.

Top Keywords (Last 7 Days)

Most searched terms this week with frequency bars. Use these to inform Pinned Keywords and Merchandising rules.

6

Click 'Download Search Analytics' to export the data.

๐Ÿƒ
Section 7

Product Card Customization

Control how product cards look in search results and recommendation widgets, with a live preview.

dashboard.alfinder.ai
Product Card Customization

Match Store Design

AlFinder inherits the styling from your existing store theme. No extra configuration needed.

Custom Design

Switch to Custom Design mode for full manual control. A live preview updates in real time as you make changes.

Wishlist Icon

Customize the wishlist button: icon style, color, size, visibility, and position (top-left or top-right).

Add to Cart Icon and Button

Customize the icon type, color, and size for the cart icon. Style the button appearance separately.

Product Card and Content

Control the overall card layout and which fields are visible: product name, price, discounted price, and more.

6

Click 'Save Changes' to apply.

๐ŸŽฏ
Section 8

Merchandising

Create rules to boost specific products to the top of search results based on conditions you define.

dashboard.alfinder.ai
Merchandising
1

Click 'Add Rule' to create a new merchandising rule.

2

Enter a rule name (used internally to identify it).

3

Define the conditions that trigger the rule โ€” for example, a specific keyword, tag, or category.

4

Define which products should be boosted and by how much.

5

Save the rule. It will appear in the searchable list and take effect immediately.

6

Examples: boost 'Sale' tagged products, promote a specific brand during a campaign, or surface new arrivals.

๐Ÿ›’
Section 9

Frequently Bought Together

Train AlFinder to identify which products customers tend to buy together, then use that data to generate bundle recommendations.

dashboard.alfinder.ai
Frequently Bought Together

Step 1: Aggregate Order Data

Set a From Date and To Date to define the period of orders to analyze. Click 'Sync Co-Purchase Data' to pull that history into AlFinder.

Step 2: Run the Algorithm

In the Algorithm Activation section, enter a Minimum Support value. This is the minimum number of times two products must have been bought together to be treated as a pair. Lower values capture more pairs; higher values focus on the strongest combinations.

Step 3: Activate

Click 'Run Algorithm'. AlFinder processes the data and begins using results to show 'Frequently Bought Together' recommendations on product pages.

4

Re-run at any time as new order data accumulates to keep recommendations fresh.

Tips for Getting the Most Out of AlFinder

  • โœ“Review negative search keywords weekly to improve product titles and add synonyms.
  • โœ“Use the script status toggle during campaigns to pause AlFinder temporarily without losing your settings.
  • โœ“Combine Frequently Bought Together data with Manual Recommendations to reinforce high-margin bundle suggestions.