AutoGate logistics engine · Logistics & mobility
Stop the bottlenecks. Start the flow. In high-volume manufacturing, your gate is either a gateway or a bottleneck. AutoGate is a logistics orchestration engine built to cut manual error, slash vehicle turnaround time (TAT), and give full visibility from perimeter entry through order fulfilment.
Because your supply chain is only as fast as your gate. The sections that follow translate this into production outcomes, core capabilities, rollout milestones, and answers procurement teams ask first.
If the fit is directional but not exact, a 30-minute working session usually resolves it—our engineers will tell you plainly whether the product matches your bottleneck, or whether a different Autowhat system (or composition) is the right answer.
Live flow
AutoGate mirrors how trucks actually move through your plant: every checkpoint emits data your control room, security, and logistics leads can agree on—without reconciling three spreadsheets after the shift.
Autowhat AI · Product blueprint
Hardware at the gate, an in-plant digital twin, and dispatch plus document intelligence — orchestrated for Indian throughput where API-only visibility leaves blind spots at the bay and the weighbridge. For the broader plant-and-network twin programme, see Digital twin development.
ANPR, RFID, weighbridge APIs, and edge nodes produce sub-minute truth SaaS trackers never see indoors.
A floor map with bays, weighbridges, and vehicles as first-class objects — alerts fire on the map, not in a buried inbox.
Dispatch, delay risk, documents, and vendor posture run as always-on agents with human override on exceptions.
Where work touches India’s medical devices regime, sequencing is explicit: manufacturing and quality documentation first (Medical Devices Act and Medical Device Rules — site master file, QMS SOPs, batch / device history, technical file structure as applicable), then licence, registration, and CDSCO-facing permissions. That order matches how notified bodies and auditors read files — and avoids documentation debt that slows approvals.
Classification, rule citations, and filing formats must be validated with your regulatory affairs partner for device class and intended use. This page states scope and sequence only — not legal advice.
The control tower is the home screen. Every persona — SC head, plant ops, gate officer, CFO — lands on the same map with a different layer. Role-based perspective, single source of truth.
Top-level navigation
Gate Ops — sub-surface
AI Agent hub
Navigation follows roles and moments of truth — not a flat module list. Everyone lands on the tower; layers toggle by permission and job context.
A single checklist the team can ship against: what is live in customer plants today, what closes the most dangerous competitive gaps next, and what belongs in a later capex wave.
FastTag + SIM + API merged into one truth layer.
LR scan → safety → bay → gate-out, time-stamped.
Customer / shipper / transporter buckets.
EXW/STO rules, LR dedupe, branch matrices.
Custom planning + stacking algorithm.
Self-serve POD, disputes, scorecards.
Fuel-type calibration + PTL weight-share.
QBR-ready cost-of-delay, vendor scorecards.
In-plant routes, bay-to-bay scheduling, turnaround.
Single login across plants with consolidated KPIs.
Zero-touch vehicle ID; LR auto-match to twin.
In-plant tracking without GPS blind spots.
Direct tare/gross/net — no manual entry.
Open/close on verified vehicle + documents.
Local ANPR + RFID; sync when cloud returns.
Presence per bay → twin + TAT engine.
Fingerprint + face at gate.
Chemical plant compliance.
Automated yard sweep.
Bays, WBs, parking — live vehicle overlays.
RFID/BLE powered floor map.
Bottleneck view across shifts.
ETA per truck in queue.
Task, location, ETA to next bay.
Wrong-zone or overstays on twin map.
Immersive walkthrough for plant head.
What-if before capex (e.g. third weighbridge).
Re-plans groupings when orders or capacity shift.
EDD miss risk 4–6h early — proactive escalation.
LR, e-way, fitness — match before gate officer review.
Route, ping gap, weight inconsistency, bay anomalies.
Natural language across operational data.
8 dimensions; weekly auto-report.
Monthly PDF/deck — delay cost, vendor ranks.
ANPR + doc AI + boom — standard flows without officer.
Local language updates and POD instructions.
Software tells you what happened. Hardware at the gate tells you what is happening now — before it becomes a problem. SaaS-only vendors do not get ANPR, edge compute, or bay presence unless someone manually feeds it.
Priority reflects what unblocks zero-touch identification, in-plant continuity when GPS drops, and weight evidence your finance and disputes teams can stand behind in audit.
| Hardware | Function | Data generated | Integration | Priority |
|---|---|---|---|---|
| ANPR camera (entry + exit) | Auto-read plate — no manual LR scan | Vehicle ID, timestamp, photo evidence | Gate module → twin → LR auto-match | Critical |
| UHF RFID + vehicle tags | In-plant position without GPS | Zone in/out, dwell, real-time dot | Twin overlay → dwell alerts | Critical |
| Weighbridge API bridge | Tare / gross / net from hardware | Weights, timestamps, discrepancy flags | WB → LR → dispute audit | Critical |
| Boom barrier controller | Auto open/close on verified status | Auth log per entry/exit | Gate → edge → barrier | High |
| Bay occupancy sensor | PIR / UWB presence per bay | Bay-in/out, dwell duration | Twin → TAT → bay assignment AI | High |
| Edge compute node | Local ANPR + RFID; offline tolerant | Processed events → cloud sync | All hardware → pre-processing | High |
| IP camera (bay + yard) | Loading proof, theft prevention | Clips linked to LR bay-in/out | Evidence → immutable trail | High |
| Driver kiosk | Self check-in, token, bay, instructions | Confirmation timestamp, language | Gate → shuttle → bay | Medium |
The twin is a real-time virtual plant — every bay, weighbridge, parking zone, and vehicle rendered live. It is both the "wow" demo for the plant head and the operational surface where dwell, wrong-zone, and queue risk surface before they hit the SLA report.
Schematic — layout is configured per plant during onboarding.
Agents watch streams, predict outcomes, and take bounded actions — they are not passive chat windows. Each ships with triggers, decision logic, and an explicit human override path for the exceptions that still need judgment.
New orders / vehicle change / capacity shift
Order list + vehicles + rates + stacking algorithm → optimal plan; re-plans in real time. Exceptions only for human review.
Continuous — e.g. every 30 min on active shipments
Historical TAT per lane + live position + patterns → EDD miss probability hours ahead. Alerts SC head and transporter together.
Upload at gate or transporter portal
OCR on LR, e-way, fitness, insurance, licence — match to order; flag mismatches before officer review.
Continuous on tracking + twin feeds
Outliers: wrong route, ping gap, weigh inconsistency, bay with no LR. Structured ticket + confidence + suggested action.
On-demand from SC or plant head
Plain-language answers over Autowhat data — ranked tables, charts, export packs — without SQL.
Weekly + on 3rd SLA miss
Eight dimensions: OTD, POD, safety pass, disputes, response, route deviation, TAT consistency, cost. Feeds renewal and rate cards.
Symbols: ★ strong Autowhat differentiator · ◐ partial · ✗ not in typical SaaS posture · ✓ basic competitor strength. Illustrative matrix — validate against your own RFP and release cadence.
| Capability | Autowhat | FourKites | project44 | Locus |
|---|---|---|---|---|
| Multi-source (FastTag + SIM + API) | ★ 8+ | ◐ | ◐ | ✗ |
| ANPR hardware at gate | ★ | ✗ | ✗ | ✗ |
| In-plant digital twin | ★ | ✗ | ✗ | ✗ |
| Gate + dwell + safety | ★ | ✗ | ✗ | ✗ |
| Shuttle in-plant scheduling | ★ | ✗ | ✗ | ✗ |
| AI dispatch optimizer | ★ | ✗ | ✗ | ✓ basic |
| Predictive delay (pre-EDD) | ★ | ◐ reactive | ◐ reactive | ◐ |
| Document AI (OCR + match) | ★ | ✗ | ✗ | ✗ |
| Natural language (Ask Autowhat) | ★ planned | ✗ | ✗ | ✗ |
| On-ground gate + compliance depth | ★ | ✗ | ✗ | ✗ |
| India compliance (e-way, CMV, …) | ★ | ✗ | ✗ | ◐ |
| Transporter portal + ticketing | ★ | ◐ | ✗ | ◐ |
| ESG / CO₂ (PTL weight share) | ★ | ◐ | ✓ | ✗ |
| Delay attribution (3 buckets) | ★ | ✗ | ✗ | ✗ |
Sequenced by strategic impact: first the physical edge and twin so data is defensible and real-time; then agents and NL at scale; finally autonomous gate flows and global hardening where your regulatory posture requires it.
Hardware + digital twin + core AI
Agents + NL + full twin
Autonomous gate · 3D twin · expansion
By month 18 the target state is an autonomous logistics operating system: trucks self-check-in where policy allows, AI plans dispatch, the plant floor is a live model, and leadership reviews only what agents escalate. That stack requires hardware depth, ground operations discipline, and India-specific compliance — not a pure API integration play.
Data-driven bottleneck visibility improves weighbridge and dock utilisation so trucks spend less time idle inside the plant.
Fewer demurrage surprises through better grouping, routing context, and exception handling tied to real gate events.
Protocol adherence with automated validation steps and verifiable document checks at each checkpoint.
High-speed location mapping for accurate route tracking inside and outside the plant perimeter.
Email and webhook-style automation for placement requests, status pushes, and vendor updates without parallel phone trees.
One mission-control view for plant heads, security, and operations—instead of reconciling spreadsheets after the fact.
Immutable audit logging and analytics core with deployment options aligned to your residency and DR posture.
Connect gate hardware, master data, and dispatch rules. Model exception paths your plant already uses today.
Run live orchestration with operator consoles, alerts, and SLA dashboards tuned to your perimeter reality.
Review TAT distributions, exception clusters, and precedent libraries to tighten policy without losing agility.
Gate entry (including FastTag-style flows), document checks, weighbridge passes, loading bay time, and dispatch—with timestamps operators can defend in reviews.
No. AutoGate orchestrates what you already run. Integrations are designed around pragmatic Indian deployments—not rip-and-replace programmes.
Timelines depend on perimeter complexity and master data readiness. A working session surfaces a realistic cutover plan for your site.
Autowhat supports managed cloud, customer VPC, and on-premise footprints with controls aligned to SOC 2 Type II and ISO 27001 operations.
Book a working session with our engineers. We map your bottlenecks to live products and tell you plainly what will work in your environment.