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Omnichannel Order Management System (OMS) for Retail

Unified order management, multi-warehouse inventory sync and omnichannel fulfillment. A single view of all your orders regardless of sales channel. ARIA agents for demand prediction and routing optimization.

3M+
Transactions/day processed
99.99%
System uptime
800+
Points of sale connected
-35%
Cancellation reduction

The problem

Your orders get lost, your inventory lies and your customers leave

Without a unified OMS, each channel is a silo generating friction, costs and unnecessary cancellations.

Constant overselling and stockouts

Online inventory doesn't reflect actual stock. You sell what you don't have, cancel orders and destroy customer trust. Each cancellation costs 5x more than a lost sale.

Orders lost between channels

E-commerce, marketplace, physical store and phone orders in separate systems. Without a unified view, orders get lost, duplicated or processed late.

Inefficient and costly fulfillment

Without intelligent routing, all orders ship from the central DC. You don't leverage nearby store inventory. Inflated shipping costs and slow delivery times.

Uncontrolled returns

Returns and exchanges between channels without standardized process. Buy online, return in store but inventory doesn't update and refund takes days.

No order lifecycle visibility

You don't know each order's status. Customers asking, support team without answers and operations making blind decisions.

Hardcoded business rules

Every change in order priority, assignment logic or split rules requires development. Business depends on IT for basic operational changes.

Capabilities

A complete OMS for omnichannel operations

From inventory sync to intelligent routing, everything in a unified platform.

Unified Multichannel Order View

All orders from e-commerce, marketplaces, POS and call center in a single interface with real-time statuses.

Real-time Inventory Synchronization

Unified stock across warehouses, stores and digital channels. Millisecond updates to eliminate overselling.

Intelligent Order Routing

Ship-from-store, BOPIS, split shipment and store transfer based on proximity, stock and cost.

Bidirectional SAP Integration

We connect with SAP MM/SD in real time to sync inventory, orders, billing and logistics.

Operational Monitoring Dashboard

Real-time metrics: pending orders, fulfillment rate, delivery SLA, backlog by channel and alerts.

Configurable Rules Engine

Order priority, assignment and exceptions configurable by business without development.

Unified Returns Management

Standardized cross-channel return process: return at any channel, automatic refund and updated inventory.

Advanced Fulfillment Orchestration

Same-day, next-day, click-and-collect, ship-from-store and reserve-in-store management from a single engine.

Exception Management and Escalation

Automated flows for problematic orders: shortages, suspected fraud, delays and address errors.

Real-time APIs and Events

Event-driven architecture with Kafka for real-time integration with any channel, TMS or WMS.

Applied artificial intelligence

ARIA: AI that optimizes your order management

ARIA agents integrated into the OMS to predict demand, optimize routing and detect anomalies before they impact the customer. Intelligence that learns from every processed order.

SKU-level demand prediction

ARIA agents analyze sales history, seasonality and trends to predict demand by store and SKU, reducing stockouts by 45%.

Automatic routing optimization

ML algorithms that learn from historical data to optimize order assignment to the most efficient fulfillment source.

Order anomaly detection

ARIA detects anomalous order patterns: potential fraud, system errors, unusual spikes and inventory discrepancies.

Methodology

Progressive implementation in 6 phases

Visible value from the first phase. Each iteration adds capabilities without disrupting current operations.

01

Current Flow Mapping

We document all order flows, pain points, business rules by channel and order type. We identify quick wins.

02

OMS Architecture

We design target architecture: integrations, routing rules, inventory sources, unified data model and event strategy.

03

MVP: Unified View + Sync

Phase 1 implementation: unified order view and real-time inventory sync. Visible value in 8-10 weeks.

04

Intelligent Routing

We activate the routing engine: ship-from-store, BOPIS, split shipment with configurable rules and cost optimization.

05

Advanced Fulfillment

We enable same-day delivery, cross-channel returns, reserve-in-store and automated exception management.

06

Operation and Optimization

Production monitoring, routing rule adjustment based on real data, ML for prediction and continuous fulfillment rate improvement.

Tech stack

Technologies powering the OMS

CategoryTechnologies
OMS
VTEX OMSSalesforce Order ManagementCustom OMS
ERP
SAP MM/SDSAP CPISAP S/4HANA
Messaging
Apache KafkaRabbitMQAzure Service Bus
Database
PostgreSQLRedisMongoDBElasticsearch
APIs
RESTGraphQLWebSocketgRPC
Cloud
AzureAWSKubernetesDocker

Case studies

OMS operating in Mexican retailers

Soriana - OMS for 800+ Stores

We implemented the OMS connecting 800+ stores and 15+ warehouses. Real-time inventory sync, processing 3M+ daily transactions and omnichannel fulfillment.

800+
Connected stores
3M+
Tx/day
99.99%
Uptime

Construrama - Multi-branch Orders

OMS for the network of 1,500+ hardware stores with distributed order management, inter-branch transfers and fulfillment from the store closest to the customer.

1,500+
Branches
-35%
Cancellations
+20%
Fill rate

Grupo Elektra - Marketplace Integration

OMS integration with Mercado Libre, Amazon and own channel. Unified order view from 5 channels, intelligent routing and differentiated delivery SLA per marketplace.

5
Channels integrated
-40%
Processing time
+15%
Conversion

Comparison

iTechDev OMS vs Traditional OMS

AspectiTechDevTraditional
Inventory sync Real-time with Kafka events, sub-second Batch every 15-60 minutes with overselling risk
Order routing Rules engine + ML for continuous optimization Static rules without optimization
SAP integration Bidirectional real-time with SAP CPI Batch interfaces with IDocs
Scalability Event-driven architecture for millions of tx/day Monolith that collapses during peak season
Ship-from-store Included with proximity and cost algorithms Not available or requires additional module
ARIA / AI Demand prediction and anomaly detection No artificial intelligence capabilities
Implementation time Functional MVP in 8-10 weeks 6-12 months for the first version

Deliverables

What you receive in every implementation

Complete OMS system in production
SAP/ERP integrations configured
Operational monitoring dashboard
Routing rules engine configured
Technical and operations documentation
Operations and troubleshooting runbook
Automated testing suite
Configured CI/CD pipeline

Industries

OMS for your retail vertical

Supermarkets and Self-service
Department Stores
Pharmacies and Health
Hardware and Construction
Electronics and Technology
Fashion and Lifestyle
Convenience Stores
Furniture and Home
Bookstores and Education
Food and Beverage
Sports and Outdoor
Marketplaces and D2C

Frequently asked questions

We answer your OMS questions

Does it integrate with our existing SAP?

Yes. We have proven integrations with SAP MM, SD, FI and CPI. Inventory and order sync between OMS and SAP is bidirectional and real-time via SAP CPI or direct RFC.

How long does OMS implementation take?

Functional MVP with unified view and inventory sync: 8-10 weeks. Full implementation with intelligent routing and ship-from-store: 4-6 months. Depends on number of integrations and complexity.

Does it work with marketplaces like Mercado Libre and Amazon?

Yes. We integrate with Mercado Libre, Amazon, Liverpool, Walmart and any marketplace with API. Marketplace orders enter the same unified flow with automatic routing and fulfillment.

What if we already have an OMS that doesn't work well?

We evaluate the current OMS with architecture and performance diagnostics. We propose: optimization of existing, gradual migration or custom development. The decision is based on data, not preferences.

Does it support high-volume operations like Hot Sale or Buen Fin?

Yes. The event-driven architecture with Kafka and auto-scaling supports peaks of 10x+ over normal volume. We run pre-event load tests and have scaling playbooks.

How do you handle inventory consistency between channels?

We use a single source of truth with per-channel reservations and event-driven millisecond updates. The model supports safety stock, per-channel buffers and marketplace allocations.

A single view of all your orders

Free assessment of your order flow. We show you where you're losing sales and how a unified OMS solves it.