Multi-store inventory tracking, shrinkage & damage reporting, customer sentiment monitoring (NPS/CSAT), sales records, foot traffic analytics, online commerce with shopping cart, checkout, and payment processing — and now Food Service: multi-unit-of-measure products, recipe-based materials explosion, supply order efficiency, and gross margin analysis by period. One platform for retail operations.
Every user journey, the dashboard, and the AI Management Console — walked end to end.
A single platform for store managers, loss prevention, e-commerce teams, and the Operations Director — connecting inventory, sentiment, sales, and online commerce.
Store managers, department leads, loss prevention officers, inventory controllers, e-commerce managers, merchandisers, and the Operations Director.
Manage multi-store operations with inventory tracking, shrinkage reporting, sentiment collection, and now online commerce — shopping carts, checkout flows, and payment processing across multiple online storefronts.
The Operations Director queries store performance, inventory levels, shrinkage patterns, customer sentiment trends, and sales by channel — all in plain English.
Purpose-built data models, workflows, and views — generated by the VeloIQ™ framework and refined for the vertical.
Multi-store hierarchy with store types (flagship, mall, outlet, pop-up) and department categorization.
Products with GS1 GTIN identifiers, multi-store inventory snapshots, stock movements (receipts, transfers, adjustments, write-offs), and supplier management.
Shrinkage incident tracking (theft, damage, admin error, vendor fraud, unknown) with status workflow and estimated value. Damage reports by reason.
Multi-source sentiment collection (social media, reviews, surveys, feedback) with NPS/CSAT scoring and engagement tracking.
Per-store sales records and foot traffic metrics — correlated for conversion rate analysis.
Multi-store online storefronts with shopping cart, checkout, and payment processing (Stripe + PayPal). Segment-aware pricing and promotions synced from JuiceMantics merchandising engine. Schema.org structured data for SEO.
Multiple units of measure per product with barcode-per-UoM validation, recipe-based materials explosion (produced vs. consumed components), Business Org Hierarchy-scoped supply orders, and period calendars — powering live supply order efficiency and gross margin by period reports.
Fraud alerts (card testing, chargeback, account takeover) with severity and investigation-status workflow, transaction anomaly scoring, and high-value asset security tracking (jewelry, electronics, firearms) with showcase-storage and inspection audit trails.
VeloIQ™ Omnichannel Retail ships as a complete, working application — not a template you still have to build.
Arrives with realistic sample data plus a clean production-ready schema. Explore the app instantly, then switch to the clean database when you go live.
15 pre-configured NL chats with 75 sample sentences — inventory, store performance, shrinkage, e-commerce, Food Service supply/margin, and fraud & asset protection analytics (native), plus sentiment, operations, supply chain optimization, and loss prevention (agentic).
One veloiq run and the full application is live: REST API, React frontend, admin back-office, and AI console — all on your own infrastructure.
Automated smoke and regression suites ship with the app, so every deployment can be validated before users touch it.
Measurable outcomes for every role in your organization — from daily operators to strategic decision-makers.
Real-time inventory snapshots, stock movements, and shrinkage rates per store. NL dashboards surface outliers instantly.
Categorized shrinkage incidents (theft, admin error, vendor fraud) with estimated losses. Agentic analytics identify patterns across stores.
NPS and CSAT scores from social, reviews, and surveys — correlated with sales and foot traffic. See which stores need attention before the P&L does.
Sales and foot traffic metrics per store give conversion rates. NL queries surface trends by store type, department, and time period.
Multi-store online storefronts with shopping cart, checkout flow, and payment processing via Stripe and PayPal. Segment-aware pricing applies gold/premium discounts automatically.
JuiceMantics-powered price optimization and promotion rules synced via webhooks. DateTime-precise scheduling supports flash sales, holiday pricing, and segment-targeted offers.
Recipe-based materials explosion matches final product sales against Supply Order units and cost, live — supply order efficiency and gross margin by period, scoped to any Business Org Hierarchy node and product category.
Product browsing with segment-aware pricing, shopping cart, 3-step checkout, order confirmation, and customer order history — all in one seamless flow.
Ask questions in plain English. Get bar charts, pie charts, trend lines, treemaps, and boxplots — no SQL required. 15 pre-built NL chats for store performance, inventory, sentiment, sales, e-commerce, Food Service (supply orders, recipe margin, materials explosion), and fraud & asset protection.
Data models and metadata that speak your industry’s language — because compliance and interoperability start with the schema.
| Area | Standard | Models mapped |
|---|---|---|
| Retail data model | ARTS Operational Data Model (ODM) | Site, RetailStore, Item, Inventory, Supplier, CustomerFeedback, RetailTransaction |
| Product & location IDs | GS1 Standards | GTIN product identifiers, GLN location identifiers, EPCIS inventory events |
| Loss prevention | NRF Shrinkage | NRF shrinkage categorization — theft, administrative error, vendor fraud, damage, unknown |
| Sentiment | NPS / CSAT | Net Promoter Score and Customer Satisfaction frameworks for sentiment measurement |
| Online commerce | Schema.org / GoodRelations | Product, Offer, PriceSpecification — structured data for search engines and marketplaces. GoodRelations Product → Individual → Offering separation |
| Units of measure | UN/CEFACT UN/ECE Rec. 20 & GS1 | UnitOfMeasure.uom_code — pre-seedable with standard unit codes (e.g. KGM, EA), custom units supported. ProductBarcode types: UPC-A, EAN-13, GTIN-14, QR |
| Food Service | ARTS ODM (extended) | BusinessOrgHierarchy, FiscalCalendar/Period, Recipe/BillOfMaterials, PurchaseOrder — for supply chain and margin analytics |
Every VeloIQ™ vertical application is versioned source code — not a locked SaaS. Fork, extend, integrate, or white-label.
Each module is a self-contained VeloIQ™ unit with its own models.py, generated GUI views, and REST API. Add or remove modules as your needs evolve.
Bring in IQVigilant for NL analytics, exception alerts, and personalization — or install other VeloIQ™ extensions from the community. Configured declaratively in veloiq.toml.
Add custom business logic in custom_api.py, override page templates per model:action, or add SQLAdmin views for advanced administration.
Switch from the shipped SQLite to PostgreSQL, MySQL, or Snowflake with a single connection string change. Schema migrations are tracked via Alembic.
AI-ready with 1-User Natural Language · 10 Exception Alerts · 100 Personalization — learn about IQVigilant capabilities
Get in touch with the VeloIQ™ team to discuss deployment, customization, and licensing.