GEINS FOR RETAILERS

Launch faster and keep your catalog always fresh

Flexible product models, availability APIs, multi‑currency pricing and promotions, plus reliable feed/index pipelines for every channel.

Built for B2C operations

B2C success depends on clean product data, fresh availability, governed pricing/promotions, and channel freshness. Geins provides these as backend contracts.
Catalog & attributes
Flexible product/variant models, attributes, relations, and projections for PLP/PDP.
Availability APIs
Location‑aware inventory, reservations, and safety stock for consistent PDP/cart reads.
Pricing & promotions
Price lists per market/currency with promotions and auditable overrides.
Omnichannel feeds
Delta aware jobs/webhooks for search and channel freshness without quota overruns.

Challenges & Solutions

B2C backends need data quality, inventory freshness, market pricing, and dependable feeds. Here’s how Geins solves them.

Product data quality and channel requirements

Channels require strict image and data standards; rejects and quotas slow merchandising.

Delta feeds with batching and retries

Use async jobs to batch/throttle per channel, push deltas via webhooks, and isolate failures with DLQ to maintain freshness without exceeding quotas.

Capabilities

Async JobsWebhooksDelta FeedsDLQ

Expected Outcomes

  • Fewer rejects
  • Faster channel freshness
  • Quota‑safe ops

Inventory freshness across locations

Stale availability causes oversells and cancellations, especially under peak load.

Location inventory with reservations

Track stock per location with reservations, backorders, and safety stock; serve consistent availability for PDP/cart via dedicated endpoints.

Capabilities

InventoryReservationsMerchant APIWebhooks

Expected Outcomes

  • Reduced oversells
  • Fresher availability
  • Fewer cancellations

Multi‑currency pricing and rounding

Inconsistent FX and rounding erode trust and harm conversion.

Market price lists and promotion governance

Maintain base lists per currency/market, apply promotions and overrides with precedence and audits; avoid runtime FX for totals.

Capabilities

Price ListsPromotionsCustomer GroupsMerchant API

Expected Outcomes

  • Consistent totals
  • Auditable pricing changes
  • Higher conversion

Variant modeling at scale

Rigid or limited variant models cause duplication and slow operations.

Attributes, relations, and read projections

Model variants with attributes/relations and drive PLP/PDP with read‑friendly projections to keep queries predictable.

Capabilities

Flexible Data ModelingMerchant APIFilteringVersioning

Expected Outcomes

  • Faster launches
  • Cleaner data
  • Predictable reads

Implementation Notes

Best practices for implementing B2C with Geins.
  • Normalize attributes and use relations; avoid variant denormalization.
  • Expose availability via dedicated endpoints; enable reservations and safety stock.
  • Use native currency price lists; govern promotions via precedence and audits.
  • Drive channels with delta feeds; reserve full reindex/backfills for alias swaps.

FAQs

Design a B2C backend that won’t slow you down

Ask us about catalog modeling, availability, pricing/promo governance, and omnichannel feeds.
Design a B2C backend that won’t slow you down