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Bundlr – Data‑Driven Bundles logo

Bundlr – Data‑Driven Bundles

Develop by BuschBytes

$9-$19

/ Month
Free plan available

Create AI-driven product bundles that match your customers' shopping habits.

Quick setup
Flexible discounting
Ai-driven content
Automated bundle suggestions

About Bundlr – Data‑Driven Bundles

Launched Mar 19, 2025

Categories

Built by BuschBytes

Address

Hofstraße 2-4, Köln, 51061, DE

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(109 Reviews)
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Description

Generate data-driven bundles from your order history—offer effective combos in a few clicks.

Create product bundles based on what customers actually buy. With Bundlr, it’s simple to create relevant product bundles, it scans your order history to suggest frequent combos, then adds AI-generated content. Choose a discount option, review the draft, and publish in just a few steps—perfect for offering item bundles that align with your customers’ shopping patterns.

Create product bundles based on what customers actually buy. With Bundlr, it’s simple to create relevant product bundles, it scans your order history to suggest frequent combos, then adds AI-generated content. Choose a discount option, review the draft, and publish in just a few steps—perfect for offering item bundles that align with your customers’ shopping patterns. more
  • Automated bundle suggestions – Quickly find products often bought together
  • AI-driven content – Generate titles, descriptions, and SEO details automatically
  • Flexible discounting – Offer fixed or percentage-based bundle promotions
  • Quick setup—start creating bundles fast

Pros

  • Automated bundle suggestions make it easy to find products that are often bought together.
  • AI-driven content generation helps create titles, descriptions, and SEO details automatically.
  • Flexible discounting options allow for fixed or percentage-based promotions.
  • Simple and quick setup lets users start creating bundles rapidly.
  • Enhances marketing strategy by aligning bundles with customers’ shopping patterns.

Cons

  • May require a learning curve for users unfamiliar with AI-driven tools.
  • Potential for limited customization beyond AI-generated content and suggestions.
  • Dependent on the accuracy and quality of order history data for effective suggestions.
  • The effectiveness of generated content might vary based on data inputs.

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