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FictiveBox
Industry: Retail

Retail platforms that actually work across channels.

Modern retail runs on five systems that pretend to be one. Commerce, OMS, loyalty, POS and customer data rarely agree on the same customer, the same order or the same inventory count. We build the integrations and platforms that make them agree.

The real problems

What actually breaks in this space.

Problem

Commerce, OMS and loyalty on three different stacks

Every promotion requires manual syncs. Stock is oversold on Friday afternoons. Loyalty points lag the POS by 48 hours.

Problem

Customer data scattered across warehouses

Marketing runs on one data set. Operations on another. Nobody can tell if a loyalty member bought anything last quarter.

Problem

Peak event readiness that cannot be tested

Black Friday, Diwali, end-of-season. The system falls over in ways that only show up at 5x baseline load.

Problem

Endless aisle promises that never ship

Store associates cannot see real stock. Buy-online-return-in-store half works. Every channel silos again at the edge.

How we fit

Capabilities we bring to this industry.

Headless commerce

Custom or Commercetools, Shopify Hydrogen, Medusa-based commerce with API-first catalog, cart, checkout and promotions.

Order management systems

Unified OMS across web, app, store, marketplace and wholesale with allocation, split shipment and reverse logistics.

Loyalty and CRM platforms

Tiered loyalty, points, offers, referrals and segmentation wired to real-time order data, not a batch extract.

Site search and discovery

Tuned search, recommendations and merchandising with measurable lift on conversion and AOV.

Unified customer data

Customer data platform with identity resolution across web, app, POS and email. One customer record, not six.

Retail analytics and planning

Real-time sales, inventory and margin dashboards with drill-down to SKU, store and cohort.

Outcomes

Measured, not modeled.

3x
Peak event throughput
90%
Lower oversell rate
+18%
Repeat purchase rate
600+
Stores unified on one OMS
Mini use-cases

Shapes these engagements usually take.

Multi-channel retailer

Headless commerce across 12 country sites

Unified catalog, localized checkout and regional payment providers. Peak event throughput tripled without incident.

Fashion group

OMS unifying web, app, 600 stores and marketplaces

Allocation, split shipments and unified returns across all channels. Oversell rate cut by 90%.

Lifestyle brand

Loyalty platform with real-time points across POS and web

Tiered loyalty with live balance, offers and segmentation. Repeat purchase rate up 18% in six months.

Stack

Tools and technologies we reach for here.

Next.jsCommercetoolsMedusaStripeAlgoliaRedisPostgresKafkaSegmentSnowflake
FAQ

Common questions

What retail software does FictiveBox build?
Headless commerce, order management systems, loyalty and CRM platforms, site search and discovery, unified customer data, and retail analytics and planning.
What problem does this solve for a retailer?
Commerce, OMS, loyalty, POS and customer data are typically five systems that rarely agree on the same customer, order or inventory count. The work is building the integrations and platforms that make them agree, which is what makes cross-channel promises like endless aisle actually deliverable.
When should a retailer move to headless commerce?
When the storefront and the commerce engine need to change at different speeds, when several countries or brands need to share one commerce core, or when the current platform makes front-end change expensive. Headless is a means to that decoupling, not an end in itself.
Which technologies are used for retail platforms?
Next.js, Commercetools, Medusa, Stripe, Algolia, Redis, Postgres, Kafka, Segment and Snowflake.

Unifying commerce, OMS, POS and loyalty?

Talk to a retail architect who has shipped multi-channel platforms through peak events.

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