Tailored platforms for the warehouse floor, plant, jobsite, and field. Integrations, live data, and AI where the operation demands it — actually deployed.
A strong ERP handles master data, finance, and standard reporting — most of the repeatable shell. What remains is fast decisions, exceptions, floor confirmation, telemetry, and daily priorities. When that does not live in the system, the gap becomes spreadsheets, chat threads, and meetings. Work happens, but you cannot audit or scale it cleanly.
Without that bridge: spreadsheets encode policy, KPIs stay parallel, and decisions arrive late.
We build the operational layer — including people who are not at a corporate desktop all day.
When the corporate system stops at the desk and the operation keeps moving in the physical world.
Versions, rework, and business rules outside the auditable core.
You learn about the issue after the fact — not while correction is still cheap.
ERP, messaging, sensors, and internal plants in silos. Facts exist; the flow does not close.
Shift handoffs and attrition export process logic. Direct continuity risk.
Clear commercial pillars; Trivectos module detail lives in the Proof section.
WMS, construction, production, logistics, field capture — your rules, roles, and exception paths.
SAP and other ERPs, databases, APIs, files, and channels (WhatsApp, email, voice) orchestrated into reliable flows.
Transcription, document reading, assisted triage, and routines that reduce manual load at volume.
Indicators and exceptions in real time for decision-makers and frontline staff.
Each card opens the interactive model in the Trivectos explorer. Official product names; minimal description.
21 operational modules · one core stack · roles and permissions
Operational method with milestones and ownership — not agency theater.
Map the real flow, integrations, and critical data — the bottleneck is named and prioritized.
Fixed package: deliverables, integrations, roles, risks, and done criteria — signed before code.
Implementation in increments with validation in the target environment — no silent drift.
Rollout, training, monitoring, and a backlog of improvements — the system stays alive after the date.
Reference: most scopes reach production within 4–8 weeks after closure.
Not an architecture slide — stack proven under operational load.
Heavy work off the interactive path: queues, retries, fault isolation.
Modeling for transaction and history — reporting without improvisation at peak.
Inference, OCR, and audio services attached to processes — not a disconnected experiment.
Dashboards and alarms reflect current state — not yesterday morning’s export.
Deliveries in production environments — not an isolated demo.
Manufacturing, logistics, construction, food, and import — same engineering discipline.
Mature components reused; speed without breaking the foundation.
ERP (including SAP), APIs, databases, MQTT where needed, messaging and voice channels.
One crisp message: process, integrations, measurable pain, and timing. We reply with a technical read and next actions.
Problem map first — no generic deck.
Rules and exceptions from your floor or field.
Typical window 4–8 weeks after scope closure.
Evolution, observability, and contracted improvements.