Decklar

Roambee is now Decklar!

24x7 Risk Monitoring Service

Your Next-Gen Control Tower

Decklar’s 24×7 Risk Monitoring Service turns visibility into execution. Powered by RADAR, it blends self-learning AI with human insight to detect, prioritize, and act on critical risks—scaling effortlessly from hundred to more than a hundred thousand shipments daily.

Why Manual Monitoring Fails in Complex Supply Chains

Monitoring thousands of shipments across borders, modes, and SLAs is impossible without automation. Traditional control towers track but often lack real-time risk prevention and autonomous action. Enterprises face mounting pressure to achieve end-to-end visibility, rapid decisions, and operational resilience.

Key Limitations

Overwhelming alert volumes flood teams with noise (e.g., 2,000+ monthly alerts)

Static SOPs can’t adapt to dynamic risk environments

Limited collaboration across partners and supplier tiers

24x7 Risk Monitoring: The Decklar Way

Built on the RADAR platform, it blends real-time visibility signals, Decision AI, and human expertise for effective orchestration.

Key Features

Digital twin connects data across systems for unified visibility.

AI agents detect, filter, and prioritize risks automatically.

Our LogTech Engineers oversee human-in-the-loop decisions.

Integrates seamlessly with ERP, TMS, WMS, and visibility tools.

How It Works

From Noise to Precision

Real-Time Detection

AI scans shipment signals from devices, carriers, and documents to identify early indicators of disruption.

Filters out over 90% of false positives. Only flags risks with SLA-critical impact using predictive scoring.

Applies customized response checklists. LogTech Engineers intervene only when needed, using dynamic, self-improving SOPs.

Give your operations team a co-pilot that rewrites the orchestration playbook, live!

RADAR

The AI Engine Behind 24x7 Monitoring

24x7 Risk Monitoring Powered by RADAR

With or Without a Control Tower

Risk Category How AI Interprets RiskExample Scenario
Route Deviation Detects GPS spoofing and lane-level anomalies Vehicle exits route during off-hours in theft-prone zone
Delivery Delays ETA models factor in weather, transporter history, and real-time congestion Delay triggered by known bottleneck at depot
Security Breach Sensor fusion (ambient light + location) for tamper pattern detection
Door opens in motion or outside geofenced boundary
Temperature ExcursionFilters out safe micro-spikes that don’t affect MKT2°C rise detected but safely within thermal profile
Sensor/Tracker IssuesFlags signal decay or battery drops before tracker stops communicatingWarns about shipment entering a blind spot
Carrier Non-ComplianceMonitors delivery patterns and SOP adherence per carrierMissed deliveries or extended dwell at cross-dock
Loss or Theft RiskFlags high-value loads in high-risk zones for proactive observationBlack Friday electronics flagged for closer monitoring
Operational Exceptions Forecasts risk from customs bottlenecks and handling patterns 3-day delay predicted at Port of Discharge

Proven Outcomes Across Industries

Pharma & Life Sciences

92% alert noise reduction, 99% product release compliance.

Electronics

$1.2M saved per year by flagging high-risk shipments. 

CPG

70% drop in repeat delays on lanes within 3 weeks.

Food & Beverages

$16M+ saved per G2000 with quality risk scenario planning by lane. 

Decklar Delivers Results

10-20%

Cost reduction 

20-40%

Fewer risk events

Up to 26%

Improvement in OTIF deliveries

54%

Fewer "Where is my order?" escalations