Large product catalog

Operate millions of SKUs without slowing down your backend

Geins hardens the core ingestion, pricing, inventory, and indexing built for high‑throughput, idempotent, observable operations across brands and markets.

Backend for large catalogs

Large catalogs complicate ingestion pipelines, model design, pricing and contract logic, inventory freshness, and search/indexing. Geins addresses these as backend contracts first, so architects can guarantee consistency, throughput, and governance across markets and brands.
Resilient ingestion
Idempotent upserts, delta feeds, retries, and backoff to keep data correct.
B2B-grade pricing
Price lists, tiers, and overrides that scale without rule explosions.
Operational observability
Metrics, tracing, and rate limits to keep P99s and SLAs on track.

Challenges & Solutions

Scaling catalogs demands fast ingestion, flexible models, reliable pricing, fresh availability, and quota-safe distribution. Here’s how Geins addresses them.

Challenge

Slow ingestion/ETL latency for updates

Delayed updates cascade to search, pricing, and inventory, hurting freshness and conversion.

Solution

Delta ingestion and idempotent upserts

Geins accepts idempotency keys on ingestion and supports delta-first product updates. Async jobs with retries and exponential backoff ensure eventual consistency without duplication. Webhooks enable downstream refreshes for search and feeds.

Capabilities

Management APIWebhooksAsync jobsIdempotency keysDelta Feeds

Expected Outcomes

  • Faster update propagation
  • No duplicate records
  • Stable throughput under spikes

Challenge

Data modeling limits for variants, attributes, and bundles

Rigid models force duplication or custom forks, increasing complexity and drift.

Solution

Model products, variants, attributes, and relations (kits/bundles) without forced denormalization. Versioned schemas and pagination/filters keep reads efficient for high-SKU catalogs.

Capabilities

Management APIMerchant APIFlexible Data ModelingFilteringVersioning

Expected Outcomes

  • Lower model drift
  • Cleaner integrations
  • Predictable read performance

Challenge

Complex B2B pricing and contract hierarchies

Customer-specific price lists and tiers explode into brittle rules that are hard to audit.

Solution

Price list hierarchy and contract overrides

Define base price lists by market/currency, then layer customer group or contract-specific overrides. Precedence rules avoid rule explosions while keeping audits clear.

Capabilities

Price listsCustomer groupsMerchant API

Expected Outcomes

  • B2B pricing at scale
  • Auditable overrides
  • Simpler rule maintenance

Challenge

Inventory synchronization and overselling at peak

Inconsistent availability models lead to stockouts or oversells under flash traffic.

Solution

Inventory availability APIs with reservations

Real-time inventory updates with reservations, backorders, and safety stock protections. Availability endpoints expose consistent read models for carts and PDPs.

Capabilities

InventoryReservationsMerchant APIWebhooks

Expected Outcomes

  • Reduced oversells
  • Fresher availability
  • Peak-safe operations

Challenge

Indexing and reindex windows for large catalogs

Long reindex windows degrade search relevance; zero-downtime swaps are required.

Solution

Zero-downtime indexing and reindex strategies

Change-data capture and delta feeds drive near-real-time updates; bulk reindex uses index-alias swaps for zero downtime. Backpressure controls protect upstream systems.

Capabilities

Delta FeedsWebhooksAsync jobs

Expected Outcomes

  • Short reindex windows
  • Consistent search relevance
  • Safe rollbacks

Challenge

Feed generation and channel SLAs

Channels expect timely, delta-aware feeds; quota overruns cause delays or rejects.

Solution

Channel-ready feeds with quotas in mind

Feed jobs batch and throttle by channel quotas, with retry/backoff and DLQ handling. Only deltas are sent; full feeds are reserved for backfill windows.

Capabilities

Async jobsWebhooksDelta FeedsRate Limits

Expected Outcomes

  • Fewer rejects
  • Faster channel freshness
  • Quota-safe operations

Challenge

API throughput, rate limits, and idempotency under retries

Backoffs and retries without idempotency duplicate records and waste quota.

Solution

Throughput-aware APIs with idempotency and backoff

Read APIs are CDN/edge-friendly; write paths use idempotency keys and server-guided backoff. Rate limits are transparent per client to avoid thundering herds.

Capabilities

Merchant APIManagement APIIdempotency keysRate Limits

Expected Outcomes

  • Stable write pipelines
  • Lower duplicate work
  • Predictable SLAs

Challenge

Observability and workflow orchestration gaps

Without structured tracing, metrics, and dead-letter handling, issues hide until revenue impact.

Solution

First-class observability and workflow controls

Tracing, metrics, and structured logs for ingestion and jobs; retries with exponential backoff and dead-letter queues for failure isolation. Rollout strategies protect hot paths.

Capabilities

ObservabilityAsync jobsDLQTracing

Expected Outcomes

  • Faster incident resolution
  • Lower error budgets burn
  • Safer releases

Backend Feature Spotlights

Core capabilities that keep very large catalogs fresh, governed, and fast.
Delta ingestion & idempotent upserts
Reduces reindex windows and eliminates duplicates.
Price list hierarchy & overrides
Scales B2B pricing without rule explosions.
Inventory reservations & availability APIs
Prevents overselling during peak events.
Webhook/event streams for search & feeds
Near-real-time sync downstream with backpressure.
Market/brand scoping + RBAC
Strong governance across complex org structures.

Proof Points

From large-catalog implementations.
  • Proven migration path from legacy PIM/commerce to Geins with staged cutovers.
  • Merchant API and Management API designed for high-throughput pagination and filtering.
  • SLA targets and operational runbooks available under NDA for enterprise buyers.

Implementation Notes

Best practices for implementing large-catalog commerce with Geins.
  • Choose canonical IDs and use idempotency keys on ingestion.
  • Model variants vs. attributes explicitly; use relations for bundles/kits.
  • Use delta feeds + alias swap strategy for zero-downtime search reindex.
  • Configure price lists by market/group; test override precedence.
  • Apply webhook retries with exponential backoff; monitor dead-letter queues.
  • Observe P99 read latency and saturation; set rate limits per client.

FAQs

Design a backend that keeps up with your catalog

Speak with our architects about ingestion, pricing, inventory, and indexing at scale.
Explore API docsStart Project
Design a backend that keeps up with your catalog