Complete vehicle master
The vehicle as the central entity with 5 status dimensions, physical location, and automated aging.
Roadmap updated quarterly. What is already available, what ships in the coming months, and open research on AI applied to the vehicle lifecycle.
0
Available
0
Next quarter
0
In design
0
AI research
Completed · May 2026
The vehicle as the central entity with 5 status dimensions, physical location, and automated aging.
Reception with photos, motives, and sign-off. States draft → confirmed → closed.
Full flow approval → transit → arrival with ETA and configurable policies.
Connector for S/4HANA, ECC, and Business One. Read and hybrid working in demo.
Versioned conflict policies per field in code. 20 governed master fields.
Cycles with mobile scanning, matched/pending/unexpected/surplus classification.
Preconfigured roles with branch scope. Immutable audit log.
Module traffic lights, live KPIs, drill-down with automatic role scope.
In-app, email, WhatsApp, and webhook with declarative no-code rules.
In development · target Aug-Sep 2026
Transactional outbound queue with retry, idempotency, and dead-letter for manual cases.
Multi-step resolution workflow with SLA by type and routing to OEM/carrier.
Native app for dealership operations: vehicle scan, photos, receptions, audits. Offline-first.
Visual report builder with drag-and-drop. Scheduled automatic delivery.
OData v4 with Azure AD. Modes 1-3. First non-SAP connector on the roadmap.
SLA metrics by module (customs, transfers, PDI) with alerts and monthly reports.
Single Sign-On with Azure AD, Okta, and Google Workspace. Automatic provisioning.
Product definition · subject to change
Consolidated view for groups with multiple tenants. Cross-tenant reports for holdings.
Flow builder with conditions, approvals, and actions — no code. For custom processes.
View for the vehicle buyer: delivery status, PDI, documentation. Branded per dealership.
REST API documented with OpenAPI. Bidirectional webhooks. For integrators and partners.
Support for Oracle E-Business Suite via REST + SQL. NRE per committed customer.
Exploratory · AI applied to the vehicle lifecycle
Damage detection and model verification in customs photos. Reduces manual review.
Natural-language questions about inventory with permissions respected.
Model on historical data: probability of delay on each transfer.
Automatic email to leadership with bottlenecks, alerts, and decisions required that day.
OCR + LLM to extract data from customs declarations, OEM invoices, and other documents. Pre-fills forms.
AI at Stocktech
Other tools announce "AI" as a prefix for any feature. We invest only where there is a clear operational use case — and where poorly calibrated AI would do more harm than good. Here are the five bets and how we measure them.
01
● In research
Visual model that detects damage and verifies model and color in reception photos. Suggests — does not decide. The supervisor confirms.
"Vehicle 1XXAA00A0XA000001 — model match ✓ · possible rear-door damage (confidence 78%)"
02
● In research
Questions in Spanish about your inventory. Respects permissions: if the role cannot access data, neither does the AI.
"How many SUVs are in San José without completed PDI and over 60 days old?" → 4 vehicles
03
● In research
Model trained on your transfer history estimates delay probability before it happens. Triggers early alerts.
"Transfer T-2026-0418 (SDO→STI) — 82% probability of exceeding SLA on route"
04
● In design
Morning email to the CEO with what mattered yesterday: bottlenecks, alerts, decisions waiting for a response.
"3 transfers delayed > 24h · 2 pending OEM discrepancies · SAP sync needs attention"
05
● In research
OCR + LLM reads customs declarations, OEM invoices, and other documents. Pre-fills forms; the operator only validates.
"DUA-2026-018847 processed · 12 vehicles identified · pre-loaded to reception"
Every AI output requires human validation before affecting the ERP or inventory.
The assistant never exposes data outside the scope of the role asking. RBAC applies first.
Every AI interaction is recorded: input, output, subsequent human decision.
Once you work with Stocktech you can vote and request features; the most requested ones enter quarterly planning. A few ideas already in the backlog:
WhatsApp Business templates integration
Comms · WhatsApp
Financial reports with OLAP cube
Reporting · BI
Integrated e-signature (DocuSign)
Documents · signing
Tell us what your operation needs: the first customers' requests carry weight on the roadmap. Start with a demo to see the product's current scope.