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Cleero: Auto Order Matching logo

Cleero: Auto Order Matching

Develop by ToastCode

$29-$199

/ Month
Free plan available 7 Days Free Trial

Automate order matching, minimize errors, and speed up fulfillment.

Intuitive dashboard
Smart suggestions
Csv order upload
Automated order matching

About Cleero: Auto Order Matching

Launched Mar 26, 2025

Categories

Built by ToastCode

Email :

[email protected]

Address

Bärenlochweg 2, Sennwald, 9465, CH

Website Privacy policy FAQ
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Description

Matches the correct order in your store and marks it as "paid".

Cleero uses csv upload to match the correct orders in your store. Orders with a perfect match are instantly marked as ‘Paid,’ speeding up your fulfillment process. For orders that don’t match perfectly, Cleero provides smart suggestions for manual review, ensuring full accuracy and control. Reduce errors, save time, and streamline your order matching effortlessly.

Cleero uses csv upload to match the correct orders in your store. Orders with a perfect match are instantly marked as ‘Paid,’ speeding up your fulfillment process. For orders that don’t match perfectly, Cleero provides smart suggestions for manual review, ensuring full accuracy and control. Reduce errors, save time, and streamline your order matching effortlessly. more
  • Uses csv upload to match the correct order
  • Marks matched orders as paid
  • Smart suggestion let's you review non-perfect matches for full control
  • Intuitive dashboard with pending, suggested and matched orders.

Pros

  • Automates order matching, minimizing human errors.
  • Instantly marks perfectly matched orders as ‘Paid,’ which speeds up the fulfillment process.
  • Provides smart suggestions for orders that do not match perfectly, allowing for manual review to ensure full accuracy.
  • Helps reduce errors and save time through streamlined processes.
  • Features an intuitive dashboard showing pending, suggested, and matched orders for easy management.

Cons

  • Relies on CSV uploads, which may not be compatible with all store management systems.
  • Non-perfect matches still require manual review, potentially adding to workload for some users.
  • The automation feature may not cover all edge cases, possibly requiring occasional manual intervention.

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