logo
GithubInstagramFacebook
Contact
All projects

Marketplace seller operations

Tokopedia

Backend maintenance and a renewed seller experience for managing commerce, performance, and growth.

Tokopedia

Role

Backend & maintenance

Scope

Emirates LS team

Status

Production

Overview

The product story

My work with Emirates LS supported Tokopedia's marketplace environment from a maintenance and backend perspective. This case study expands that foundation into a unified seller command center: daily operations, shop health, reporting, and AI-assisted decisions in one coherent experience.

Seller operations

One place to run the complete marketplace workflow.

The seller experience brings everyday operations together instead of making teams move between disconnected tools. It covers the work from creating a product to fulfilling an order and understanding the result.

Store management

Manage shop settings, channel availability, operating status, and the complete product catalog from one place.

Products & catalog

Create listings, organize categories and variations, improve product quality, and handle high-volume catalog updates.

Orders & fulfillment

Track new orders, packing deadlines, shipment progress, cancellations, returns, and warehouse origin.

Inventory control

Keep stock synchronized across sales channels and identify low stock or overselling risk before it affects customers.

Customer operations

Bring chat, questions, complaints, and response performance into the seller's everyday operational queue.

Marketing & growth

Connect promotions, advertising, affiliates, and live-shopping activity to product and revenue performance.

AI listing assistant

Turn one product image into a complete, reviewable listing.

This feature direction reduces repetitive seller work without publishing unverified AI output. It prepares the difficult fields, explains what may be missing, and gives the seller final approval.

01

Upload one image

The seller starts with a clear product photo instead of a long empty form.

02

Understand the product

AI identifies the likely item, category, color, material, visible attributes, and possible variations.

03

Prepare the listing

The system drafts the title, description, attributes, search terms, price range, and shipping information.

04

Check quality and policy

Image quality, missing information, prohibited claims, duplicate listings, and risky content are flagged.

05

Review before publishing

Every generated field remains editable. The seller approves the final listing and stays in control.

TitleCategoryDescriptionAttributesVariationsSearch termsPrice guidanceShipping details

Decision intelligence

Give sellers an explanation and a next action.

Reporting should not stop at charts. The product compares the signals behind a result, explains the strongest contributing factors, and recommends what the seller can do next.

Explain why performance is down

Separate traffic problems from conversion problems, then compare price position, stock, delivery speed, ratings, returns, listing quality, and ad efficiency to identify likely causes.

Recommend what to sell next

Find products and bundles that match growing search demand, related purchases, category gaps, seasonal movement, and the seller's existing strengths.

Show where demand is growing

Compare product interest, available stock, shipping coverage, competition, and conversion by city or region to guide inventory and campaign decisions.

Improve price and promotion decisions

Show the seller how pricing compares with similar products and whether a discount, bundle, ad, or improved listing is the strongest next action.

Reports

The information sellers need to understand the business.

01

Sales report

Revenue, orders, fees, discounts, refunds, cancellations, and net payout.

02

Products report

Views, search visibility, conversion, stock cover, returns, and margin.

03

Buyers report

New and returning buyers, repeat behavior, cohorts, and leading locations.

04

Advertising report

Spend, attributed sales, ROAS, search terms, and underperforming campaigns.

05

Operations report

Packing time, delivery service level, cancellation reasons, and response time.

06

Shop health report

Ratings, listing quality, policy risks, service quality, and growth readiness.

Buyer understanding

New versus returning customers, purchase frequency, leading cities, category interests, and retention patterns.

Clear explanations

Every recommendation includes the signals behind it, so the seller can understand and challenge the reasoning.

Seller control

AI drafts and recommends. Pricing, stock movement, promotion changes, and publishing still require seller approval.

Research basis

The operational scope is grounded in documented Tokopedia seller capabilities, including real-time sales and operations, inventory, buyer analytics, TopAds, reporting, and the unified Tokopedia and TikTok Shop Seller Center. The image-to-listing and recommendation features are clearly presented as product direction.

Next case study

Explore the full collection.

More product work across AI, commerce, delivery, payments, internal systems, and Kurdish digital experiences.

All projects