Demandra / Technology & Architecture

Enterprise cloud architecture built on Microsoft Azure.

Demandra couples real-time POS event streaming with Azure Machine Learning time-series neural networks — delivering bank-grade encryption and offline-first store edge durability.

DATA PIPELINE ARCHITECTURE

From cash register swipe to predictive replenishment dispatch.

Retail forecasting fails when systems run on day-old batch uploads. Demandra operates an event-driven ingestion engine capable of processing millions of SKU transactions across thousands of checkout terminals simultaneously.

Each receipt transaction is encrypted with TLS 1.3 at the store edge and routed through Azure Event Hubs into tenant-isolated Azure Data Lake storage. Machine learning models continuously compute velocity anomalies, local promotions, and supplier lead-time changes.

  • Streaming Ingestion Engine Azure Event Hubs (Kafka-compatible)
  • Storage Isolation Azure Blob Storage with CMK
  • AI Time-Series Framework Azure ML (TFT & Prophet Ensembles)
  • Identity & RBAC Microsoft Entra ID (Azure AD)
Technical Stack Architecture
Layer 1: Edge POS Adapters
Lightweight local services for Odoo, SAP Retail, Dynamics 365, and proprietary checkouts. Local SQLite buffer retains up to 72 hours of sales during fiber cuts.
Layer 2: Event Hubs & Stream Ingestion
Sub-second deduplication, schema validation, and basket tokenization. Strips customer PII while retaining anonymized product associations.
Layer 3: Azure Machine Learning Ensembles
Temporal Fusion Transformers (TFT) evaluate seasonal shifts, payday patterns, holiday spikes, and rainfall impact on urban shopper footfall.
Layer 4: Automated Dispatch Triggers
Outputs ERP purchase orders, warehouse picklists, and inter-store balance manifests directly to central supply chain teams.
OFFLINE-FIRST DURABILITY

Engineered for real African telecommunications realities.

In West and East Africa, store internet outages and power switchovers are routine facts of life. A cloud forecasting tool that requires 100% constant connectivity will break retail operations.

Demandra's store agent runs on an offline-first architecture. If broadband connectivity drops at an Ikeja, Abuja, or Port Harcourt supermarket, the POS adapter buffers transactions locally in encrypted storage.

Once connectivity returns, the agent performs a deterministic delta reconciliation, updating the Azure ML model pipeline in seconds without duplicate record creation or dropped baskets.

Edge Resilience Telemetry
Local Queue Depth 0 Items (100% Synced)
Encrypted local SQLite database holding 0 pending transactions.
Network Fallback Modes Fiber / 5G / 4G / Offline
Automatic failover between primary fiber, cellular backup, and store cache.
Downtime Recovery Time < 14 seconds
Full delta replay speed for a 12-hour offline operational window.
CONNECTIVITY ECOSYSTEM

Native connectors for your existing retail tech stack.

CONNECTOR // 01

Odoo & Microsoft Dynamics

Direct REST API synchronization with Odoo Community/Enterprise and Microsoft Dynamics 365 Supply Chain Management. Zero manual data entry.

CONNECTOR // 02

SAP Retail & Oracle Retail

Enterprise connectors for SAP S/4HANA Retail, SAP ERP 6.0, and Oracle Retail Merchandising System via secure Azure API Management gateways.

CONNECTOR // 03

Custom POS & Automated CSV

SFTP batch ingestion or JSON webhook streams for proprietary checkout applications used by Nigerian retail chains and FMCG distributors.

ENTERPRISE INTEGRATION

Ready to integrate your store network?

Speak with our retail solutions engineering team in Lagos to test a live sandbox integration with your POS data.

Review Security Architecture