Bucket #1 : Claim Raise Process
Process Flow
For a seller, the claim raising process starts as soon as a return comes in
1. Problems faced Before Claim Raise
Problem #1.1: Sellers have to employ additional manpower for claims
The additional manpower is needed for the following
1.1.1 Selecting Returns on which to raise claims: To create a video for claim raising, sellers need to have the packet intact. Hence, they have to make a decision on claim video creation when the see the packet.
Sellers receive returns in BP packets (in case of RTO) or 3P packets (in case of return).
Both packets are transparent on one side, allowing sellers to quickly identify discrepancies, such as products with clearly different categories, designs, or colors.
However, this transparency is less effective in identifying issues related to damage, missing items, used products, or lower-quality substitutions.
As a result sellers are left with two choices
1.1.2 Video Creation
Each claim requires seller to upload an unpacking video and some images for the return. From seller LoDs the overall time taken to do this ~5 min. Sellers find this very tedious and frustrating.
Sir, you tell us, are we just here to create videos?
However, from our analysis the video creation time should be approximately ~ 2 min. Following are the steps required in video creation
Following is a sample video on how sellers raise claims from one of our LoDs.
Loading video: Claim Raising Process.mp4...
Problem #1.2: Sellers are not able to adhere to Claim Video Guidelines
Apart from the time consuming nature of creating videos, sellers show frustration when claims are not approved citing ‘Video Guidelines not followed’ (More details on how rejection based on Video guidelines can be found here). Sellers track such rejected claims and try to improve their claim process but are still not able to adhere to Claim Video Guidelines due to the following reasons
1.1.1 Lack of awareness of correct video guidelines
Video Guidelines are shown when a seller raises a claim and again in the ticket response if the claim is rejected due to guideline issues. (See for more details).
Despite sellers viewing these guidelines (as confirmed through LoDs), they struggle with understanding and following them. To pinpoint problem areas, we audited both accepted and rejected tickets tickets from green channel sellers (P1-P4 + C1-C7) and conducted LoDs.
The table below categorizes the steps in the video SOP into Objective and Subjective checks, indicating seller awareness, adherence, and reasons for non-compliance for each step Do sellers know of this step?
How many sellers follow this step?
Reasons for not following?
This shows that sellers have gaps in their understanding of some parts of the video SOP. Even when they are aware of the steps, lower adherence is often due to their efforts to create videos as quickly as possible.
1.1.2 Lack of real-time corrective feedback at time of video creation
Since the claim video functions like an "unboxing" video, once the product is unboxed, sellers can't recreate the video. This means that if a mistake is made, there's no opportunity for a "retry." To help guide sellers during the video creation process, we considered launching a feature that would provide real-time feedback through prompts (e.g., "Front side not shown properly, please re-show the front side"). However, this functionality isn't feasible with our current tech infrastructure.
2. Problems faced At time of Claim Raise
Problem #2.1: Sellers don’t know the correct disposition under which to raise claims
When the seller lands on the support page, suppliers select a disposition under which they want to raise claim. Of the many dispositions shown to suppliers, only 7 dispositions are related to claims. These are
Issue Category description
Quantum of claim tickets raised
Our audits reveal that 10-12% of rejected tickets are due to sellers raising claims under the wrong disposition.
Seller LoDs indicate that over 50% of sellers don’t select the correct disposition when raising claims. A deeper analysis identified two main reasons for this:
Lack of awareness: 90% of sellers are unaware of all available dispositions. Perceived approval bias: 10% of sellers knowingly choose a different disposition, believing it has a higher approval rate. Despite the majority of sellers selecting the wrong disposition, the number of rejected tickets remains low. This is because Meesho agents re-audit all 3P rejected tickets and often approve genuine claims, even if they were filed under the incorrect disposition. In this context, a genuine claim is determined by the seller's ticket description.
3. Problems faced After Claim Raise
Problem #3.1 Sellers don’t know how long it will take for a resolution
LoDs indicate that xx% of sellers feel the resolution time is too long
Data indicates our first response time is yy second while the average resolution time is zz seconds
Bucket #2: 3P Approval Process
Our current RVP claim approval rates trend at ~80%. For the ~20% claims that are rejected, we sized the share of correctly and incorrectly rejected claims, which is presented below.
Non-adherence to video SOP (~46% of rejections) and Correct Product Delivered (~34%) are the 2 major reasons for rejecting claims. ()
Every 3P rejected claims flows to internal Meesho agents who revaluate the ticket Quantum in Rejected tickets
Problem(s) with evaluation process
Bucket #3: Visibility
Problem #3.1: Sellers don’t understand why the claim has been rejected
Problems on which CPD Required