Executive Command Center
Live operational health in one pane — revenue, fulfilment, staffing and stock — with drill-down to the individual record.
The Platform
A single spine for the whole operation
Every TachyEl deployment is assembled from the same core services. You get a system that is bespoke where it matters and battle-tested everywhere else.
CORE · SERVICES · MESH
Capabilities
What ships in the box
Smart Inventory
One stock ledger across every location, with auto-balancing transfers and forecast-driven reorder points.
Neural Query Engine
Natural-language questions compiled to SQL against your own schema. The answer arrives with the query that produced it.
Predictive Resource Allocation
Models that learn your peak hours and staffing requirements, then propose the roster before the week starts.
Anomaly Detection
Inventory leakage, refund abuse and supply chain irregularities surfaced in milliseconds instead of at quarter close.
Gov-Cloud Ready
Role-based access, immutable audit logs and deployment paths for GeM, HIPAA-aligned and air-gapped environments.
Architecture
Microservices first
Services are independently deployable and independently boring. When the catalogue needs to scale on a launch day, the ledger doesn't have to care.
React
PHP / MySQL
REST & Webhooks
Scheduled Workers
RBAC
Edge
Customer surfaces
Storefronts, booking flows and client portals. Static-first delivery, hydrated only where interaction demands it.
Service
Domain APIs
Catalogue, orders, inventory, identity and support each own their data and expose a versioned JSON contract.
Data
Production database
Normalised schema, migrations under version control, daily snapshots and an append-only audit trail.
Automation
Scheduled workers
Cron-driven jobs for reconciliation, reporting, uptime checks and the nightly forecast refresh.
Intelligence
Model layer
Forecasting, anomaly scoring and natural-language querying that read from the same tables as everything else.
0
Uptime target
0
Priority SLA response
0
Daily snapshots
0
Audited state changes
Deploy it
See the platform on your own data
We'll run a working demo against a slice of your real operation, not a canned dataset.