Industry

Amarketplaceisnotastorewithmoresellers.Itisadifferentkindofbusinesswithdifferentinfrastructurerequirements.

Seller onboarding, commission distribution, dispute resolution, and catalogue quality are all operational problems that do not exist in a single-brand store. Getting them right determines whether a marketplace retains sellers and earns buyer trust — or spends its growth budget constantly replacing both.

See how we work

Industry_Focus

Multi-Vendor

Seller Management

Commission Tracking

Trust & Safety

Industry Analysis

What We Know

The reality of modern infrastructure, unpacked.

Operational Reality

Running a marketplace means managing two distinct customer relationships simultaneously — buyers who expect consistency, reliability, and protection, and sellers who expect fair treatment, transparent commission accounting, and a platform that helps them succeed rather than creating friction. These relationships have different needs and different points of failure, and the platform has to serve both well enough that neither side has sufficient reason to leave. The network effect that makes marketplaces valuable is also what makes them fragile: a marketplace with too few reliable sellers loses buyers, and a marketplace with too few buyers loses sellers.

The Technology Gap

The infrastructure gap that most marketplace builders underestimate is not the buyer-facing storefront — it is the seller-facing operational layer. KYB verification that handles the edge cases a manual process would catch. Commission calculations that correctly handle refunds, chargebacks, and partial fulfilments. Dispute workflows that are documented clearly enough that sellers understand the process before they encounter it. Catalogue management that maintains quality standards across hundreds of sellers without requiring a full-time moderation team for every category. These systems are less visible than the product listing and checkout flow, and they are the systems that determine whether the marketplace is sustainable to operate.

The Human Cost

A marketplace operations team manually reconciling commission payments each month because the payment system does not correctly account for refunds. A seller who receives an incorrect payout, spends three days trying to reach support, and decides not to list their next product. A buyer who receives a counterfeit item, files a dispute, and encounters a resolution process with no clear timeline or outcome criteria — and who leaves a public review describing the experience. These are the operational costs of marketplace infrastructure built for the launch day demo rather than for day-to-day operation at scale.

Focus Areas

Solving the Right Problems

We target specific workflows where manual effort meets its ceiling, delivering measurable, high-leverage outcomes.

Seller onboarding and verification

A seller onboarding process that takes weeks, requires back-and-forth document collection, and gives sellers no visibility into their application status creates a poor first impression and delays the supply-side growth the marketplace needs. KYB verification that is entirely manual does not scale beyond the first few dozen sellers.

Structured onboarding with automated KYB verification, guided catalogue setup, and payment configuration that gets sellers from application to live listing in hours — with a clear status view throughout the process.

Commission calculation and payout accuracy

Commission models that seem simple — a percentage of the transaction — become complex at scale when refunds, chargebacks, partial fulfilments, and promotional discounts need to be correctly accounted for. Systems that handle the standard case correctly but fail on edge cases generate reconciliation work and erode seller trust.

A commission engine that handles the full range of transaction states — refunds, partial returns, chargeback reversals, promotional adjustments — and produces a payout record that sellers can reconcile against their own records without contacting support.

Catalogue quality across sellers

A marketplace catalogue maintained by multiple sellers with different standards for product information, image quality, and category accuracy degrades in quality as it grows. Manual moderation that has to review every listing does not scale. Buyers who cannot trust the accuracy of listings reduce their purchase frequency.

Automated catalogue quality checks — required fields, image standards, prohibited terms, duplicate detection — applied at listing submission and at regular review intervals, with structured seller feedback that improves quality over time rather than simply blocking listings.

Dispute resolution and buyer protection

Disputes between buyers and sellers that have no documented resolution process, no clear timeline, and no consistent outcome criteria create a support burden for the marketplace and dissatisfaction for both parties. Escrow and buyer protection mechanisms that are opaque to sellers create resentment even when they function correctly.

A documented dispute resolution process with defined timelines, clear criteria, and structured evidence collection — communicated to both buyers and sellers before they need it — reduces dispute volume, resolution time, and the damage to marketplace reputation when disputes occur.

Fraud detection and trust signals

Fraudulent seller activity — counterfeit products, fake reviews, payment fraud — damages buyer trust and imposes costs on the marketplace that are difficult to recover. Fraud detection that generates too many false positives creates friction for legitimate sellers; detection that is too lenient exposes buyers to harm.

Layered fraud detection combining transaction pattern analysis, seller behaviour monitoring, and buyer feedback signals — with threshold calibration specific to the marketplace's category and seller profile — surfaces the cases that warrant intervention without flagging the majority of ordinary activity.

What We Build

Actionable Technologies

Outcomes in the reader's language, focused on actual usage.

BLD 01

Marketplace platform

The core buyer-seller infrastructure — product discovery, listing management, cart and checkout, and transaction processing — designed to support multiple seller accounts with separate catalogues, inventory, and fulfilment from a single buyer-facing experience.

Buyers browsing and purchasing; sellers managing their listings and orders

BLD 02

Seller management system

Structured seller onboarding with KYB verification, catalogue setup, and payment configuration, combined with ongoing seller account management — performance monitoring, policy compliance tracking, and the seller dashboard that gives sellers visibility into their own activity.

New sellers onboarding; existing sellers managing their account; marketplace operations teams

BLD 03

Commission and payout engine

Commission calculation covering the full range of transaction states — standard sales, refunds, partial returns, chargebacks, promotional discounts — with automated payout scheduling and a payout record that sellers can reconcile without raising a support request.

Sellers receiving payments; marketplace finance teams managing reconciliation

BLD 04

Trust and safety system

Layered fraud detection monitoring transaction patterns and seller behaviour, combined with automated catalogue quality checks, a structured dispute resolution workflow, and the buyer protection mechanisms that give buyers confidence to purchase from unfamiliar sellers.

Buyers relying on purchase protection; marketplace trust and safety teams

BLD 05

Catalogue management platform

Automated quality checks applied at listing submission — required field validation, image standard enforcement, duplicate detection, prohibited content screening — with structured feedback to sellers and a moderation queue for items requiring human review.

Sellers submitting listings; catalogue moderation teams

BLD 06

Marketplace analytics dashboard

Buyer behaviour analytics, seller performance metrics, GMV tracking, commission revenue reporting, and the marketplace health indicators — category concentration, seller churn rate, dispute rate — that inform decisions about where the marketplace needs attention.

Marketplace operators and leadership teams

Our Approach to AI

Grounded Intelligence

AI catalogue classification works well for categories with large volumes of well-labelled historical listings. For new categories or unusual product types where the training data is limited, automated classification is less reliable and human review is more important. We are direct about the categories where automated classification confidence is lower and configure moderation queues accordingly rather than applying a single confidence threshold across all categories. The concern we hear most often about automated trust and safety systems is about false positives — sellers flagged incorrectly, listings removed without clear justification, or accounts suspended based on patterns that do not reflect genuine fraud. This is a legitimate concern and one that affects seller trust in the platform. We build in a clear appeals process, seller-visible justification for flags and removals, and human review for account-level actions — because a trust and safety system that sellers cannot understand or challenge damages the seller relationship even when it is operating correctly.

Use Case01

Catalogue quality and categorisation

A model trained on the marketplace's existing catalogue and category taxonomy classifies new listings into the correct category, flags incomplete or inconsistent product information, and identifies listings that resemble known prohibited items — reducing the moderation burden for standard listings while surfacing the exceptions that warrant human review.

Use Case02

Fraud and anomaly detection

A model monitoring transaction patterns, seller account activity, and buyer feedback signals identifies combinations of behaviour associated with fraudulent activity — new accounts with unusually high order volumes, listings with abnormally high refund rates, review patterns inconsistent with organic purchase behaviour — and surfaces them for operations team review before they affect a significant number of buyers.

Use Case03

Personalised product discovery

A recommendation model trained on purchase history, search behaviour, and browsing patterns surfaces products from sellers the buyer has not previously engaged with — improving catalogue discoverability and distributing buyer attention across the seller base rather than concentrating it on the best-known listings.

How We Work

Our Philosophy

We design the seller experience and the trust and safety framework before we build the buyer-facing storefront — because the quality of the buyer experience is determined by the quality of the seller operations underneath it.

PHASE 01

We define the commission model and edge cases before we build the payment layer

Commission models that seem straightforward at first discussion typically reveal complexity when examined against real transaction scenarios — refunds that occur after payout, partial returns on multi-item orders, chargebacks initiated weeks after the original transaction, promotions that discount differently from the commission base. We work through these cases with the marketplace team before building the commission engine, because the edge cases define the architecture, not the standard case.

PHASE 02

We design the dispute process before the first dispute occurs

Dispute resolution workflows built under the pressure of an escalated dispute are reactive and inconsistent. We design the resolution process — what evidence is required, what the timeline commitments are, who makes the final determination, and what the outcomes can be — as part of the platform design, before it is needed. Both buyers and sellers should be able to find the dispute process in the platform before they have a reason to use it.

PHASE 03

We plan the initial seller base alongside the platform build

A marketplace that launches with strong technical infrastructure but an insufficient or low-quality seller catalogue will not generate the buyer engagement needed to attract more sellers. The seller acquisition and onboarding plan — which sellers to approach first, what the onboarding experience needs to be for that seller profile, what the minimum viable catalogue looks like — is a design consideration alongside the technical build, not a post-launch problem.

PHASE 04

We calibrate trust and safety thresholds with real data, not assumed values

Fraud detection thresholds set before the marketplace has real transaction data are arbitrary. We deploy monitoring with conservative initial thresholds, review the flagged cases in the first months of operation, and calibrate the thresholds based on the actual fraud profile of the marketplace's category and seller base — because the right threshold for a high-value electronics marketplace is different from the right threshold for a handmade crafts marketplace.

Proof

Operational Metrics

Measured by operational outcomes, not just technical uptime.

~0%

Reduction in seller setup time

B2B marketplace with automated KYB and payment configuration

~0%

Reduction in return rates

fashion resale following structured quality control implementation

~0%

Faster dispute resolution

local services marketplace with structured resolution workflow

Case Stories

Field Outcomes

Quiet, honest, and specific results.

Context

Case Study

A B2B equipment marketplace was onboarding sellers manually — collecting documents by email, verifying them by hand, and configuring payment accounts individually. New sellers were taking two to three weeks to get live, the operations team was spending most of their time on onboarding rather than marketplace development, and the slow onboarding was a known reason that several high-value sellers had chosen a competitor platform.

Resolution

Seller setup time decreased by roughly 90% — from two to three weeks to a few hours for sellers with complete documentation. The operations team's onboarding workload dropped substantially, freeing capacity for seller success work. Catalogue accuracy improved by approximately 85% as automated validation replaced manual review of listing completeness.

Context

Case Study

A fashion resale marketplace was experiencing high return rates, low seller retention, and growing buyer complaints about item condition inconsistencies. The commission structure had not been updated since launch and was generating less revenue at higher GMV than expected — because volume discounts had been applied without modelling the impact at scale.

Resolution

Return rates decreased by roughly 40% as listing quality improved and condition descriptions became more consistent. Seller retention increased by approximately 35% as sellers who met quality standards were promoted more visibly in search results. Marketplace commission revenue increased by around 25% over the following two quarters as the commission model was corrected.

Context

Case Study

A local services marketplace was receiving a high volume of payment disputes and had no structured resolution process — disputes were handled ad-hoc, resolution times were inconsistent, and neither buyers nor service providers knew what to expect when a dispute was opened. The unstructured process was appearing in public reviews and affecting new buyer acquisition.

Resolution

Dispute resolution time decreased by roughly 80% as the structured workflow replaced ad-hoc coordination. Quality scores across service providers improved by approximately 50% as providers understood that documented service delivery was required for escrow release. Customer satisfaction scores increased by around 45% — attributed to both faster resolution and the improved service quality the escrow requirement created.

Strategic Domains

Segments We Serve

System SegmentPhysical goods marketplaces

Multi-seller product marketplaces with inventory management, fulfilment coordination, returns handling, and the catalogue quality standards needed to maintain buyer confidence across a large and varied seller base.

Engagement

Flexible Models

Ref // 01

Verified

Marketplace assessment

A two-week review covering the proposed marketplace model, commission structure, seller acquisition plan, and the specific trust and safety requirements of the category. Output is a clear picture of what needs to be built, in what order, and what the seller and buyer acquisition assumptions need to be for the economics to work.

Ref // 02

Verified

Platform implementation

An 8–12 week build covering the core marketplace infrastructure — seller onboarding, catalogue management, payment processing, commission engine, dispute resolution, and buyer-facing storefront. Delivered with the seller tools and operations documentation the marketplace team needs to run it.

Ref // 03

Verified

Seller acquisition programme

A 4–6 week structured programme for onboarding the initial seller cohort — onboarding materials designed for the specific seller profile, hands-on support through the first listing and first sale, and the catalogue quality feedback loop that produces a consistent buyer experience at launch.

Ref // 04

Verified

Ongoing marketplace development

Continued involvement after launch — trust and safety threshold calibration as real transaction data accumulates, commission model refinement based on actual margin performance, new category configuration, and seller tool development as the marketplace grows.

Security

Rigorous Compliance

Enterprise-grade security embedded at the core.

Secure by design.

Enterprise-grade controls, rigorous compliance baselines, and delivery discipline woven into the architecture from day zero.

Audit Ready

Payment security

Payment processing is handled through PCI DSS Level 1 compliant infrastructure. Card data is tokenised — not stored on the marketplace platform. Split payment and payout processing uses Stripe Connect or equivalent, with separate sub-accounts per seller and automated reconciliation.

Seller verification

KYB verification covers business registration, beneficial ownership, and bank account validation. Verification depth is configurable by seller tier and transaction volume — lighter-touch for low-volume sellers, more thorough for high-volume or high-risk categories. Ongoing monitoring flags account changes that may indicate identity fraud.

Data protection

Buyer and seller data is handled in compliance with GDPR and CCPA. Data minimisation applies to the KYB process — we collect what is required for verification and payment processing, not a broader profile. Buyer purchase data is not shared with sellers beyond what is necessary for order fulfilment.

Compliance

Industry Certifications

Adhering to the highest standards of security and regulatory compliance.

PCI DSS Level 1

SOC 2 Type II

ISO 27001

GDPR Compliant

CCPA Compliant

Stripe Verified Partner

Technical Architecture

Engineered for scale.

Our foundational technology stack is designed around principles of immutability, deterministic performance, and zero-trust security. We deploy modern, enterprise-grade tooling to ensure every architecture we deliver is robust and extensible.

SYSTEM_HEALTH: NOMINAL

LATENCY: < 10ms

Marketplace platform

Core buyer-seller infrastructure for product discovery, listing management, and transaction processing

Node.js backend with microservices architecture for independent scaling of catalogue, payment, and trust components

React frontend with separate buyer-facing and seller-facing application surfaces

PostgreSQL for transaction and catalogue data with Redis for session management and real-time notifications

Elasticsearch for catalogue search and product discovery across large seller inventories

FAQ

Frequently Asked Questions

Everything you need to know about partnering with us and our engineering standards.

Ready to scale

Unify your operations.

Every marketplace is at a different point — some are building from scratch and working through the seller acquisition and commission model questions for the first time, some have launched and are discovering where the operational infrastructure is not holding up at scale, and some are migrating from a platform that was not built for the complexity their business has grown into. If something on this page reflected a situation you recognise, we are glad to hear where you are. No presentation. Just a conversation.

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