lambertf917 / lambertf917/open-source-document-solution-system

Simplify Bulk Restaurant Addition and Replication in Enatega Multivendor Web.

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Dominant language
TypeScript
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Description

Feature Request: Simplify Bulk Restaurant Addition and Replication in Enatega Multivendor Web.
Description:
Users are encountering challenges when trying to add restaurants in bulk or replicate existing ones on the platform. This difficulty can be addressed as a feature request. Users are seeking a more user-friendly and efficient process for these operations.

Impact:
User Satisfaction: Enhancing the bulk restaurant addition and replication process will result in greater user satisfaction with our platform.

Operational Efficiency: Streamlining these operations benefits users and the overall efficiency of the platform.

Steps to Reproduce:
Review the current process for adding restaurants in bulk or replicating them.
Acknowledge the difficulties users are facing during these operations.
Expected Feature:
Simplify and optimize the process for adding restaurants in bulk or replicating them.
Consider implementing a feature that allows easy duplication with the option to make minor modifications.
Enhance the user interface and provide clear guidance for these operations to improve overall usability.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are mentioned. Start by reviewing the existing bulk restaurant-addition and restaurant-replication flows, including their user interfaces and supporting operations. Define the intended duplication behavior, editable fields, guidance, and acceptance criteria before implementation; done means both workflows are simpler and minor modifications are supported.

Written by the indexing model from the issue text.

Assessment

Tech stack
typescript
Domain
full-stack
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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