Cases

How a discount retailer chain reduced the risk of incomplete product cards

How a discount chain optimized product media delivery with diagnostics for status, date and safe resync.

Key takeaways

  • How a discount chain optimized product media delivery with diagnostics for status, date and safe resync.
  • Delivered by KT.Team. The CIS source page carries the full project story, metrics and interface screenshots.
Business goal avoid losing cards due to media send errors
Roles content, category, PIM/DAM, accounting system, support
Metrics card completeness, statuses, resubmission, recovery time

Context

In the discount chain's product flow, product photos pass through multiple statuses and move to the accounting system. For the business, this affects card completeness: a product may be ready in the data but appear incomplete due to missing media.

If photos didn't reach some products, it's not enough to simply repeat the send. You need to understand which cards are truly suitable for resubmission and which filters won't exclude the needed products.

Discount Network Product Media & Status Sync
Product Photo Dispatch Recovery Workflow

Business challenge

Content team sees the risk of incomplete cards, category manager sees assortment error risk, product flow owner sees repeat failure risk. If status is misinterpreted, the business loses time on manual review and may fail to recover some valid cards.

A too-strict exclusion filter is especially risky: it looks safe but can exclude products that need to be recovered from resubmission.

Challenge

They needed to determine where photo delivery was interrupted, assemble a safe selection of cards for resubmission, and describe criteria that wouldn't lose valid products.

Business goal: restore product card completeness and reduce the risk of repeating errors in the next bulk media upload.

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Solution

The team matched business card status, technical send events, and processing completion dates. Then they formed selection rules for resubmission.

Separately identified the risk of incorrect exclusion by a single status: such a filter could remove needed products from recovery.

  • Matched business statuses with technical send readiness.
  • Formed a safe selection for photo resubmission.
  • Eliminated the risk of card loss due to incorrect exclusion filters.

Metrics and business goals

Metrics here should show whether the product media flow has been restored and whether cards are being lost in reprocessing.

  • share of cards with correctly delivered photos;
  • number of products in the resend queue;
  • statuses by which cards are allowed or excluded from recovery;
  • time from failure detection to safe resubmission;
  • number of cards lost due to incorrect filtering.

Result

The project received a clear recovery plan: which products to resubmit, what criteria to select them by, and which conditions shouldn't exclude valid cards.

For content teams, it reduces the risk of incomplete cards; for category managers, the risk of assortment errors; for support, time spent re-analyzing similar failures.

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