From Manual to Automated
Quality Release
Reduce product rejections by 35%, achieve 95%+ quality & cold chain compliance, and improve on-shelf product availability through automated quality release with real-time visibility. Transform condition signals into predictive decisions that prevent spoilage, ensure availability, enforce quality SOPs, and trigger faster, verifiable release actions.
Realize ROI
within 4 Weeks
From Manual to Automated
Quality Release
Reduce product rejections by 35%, achieve 95%+ quality & cold chain compliance, and improve on-shelf product availability through automated quality release with real-time visibility. Transform condition signals into predictive decisions that prevent spoilage, ensure availability, enforce quality SOPs, and trigger faster, verifiable release actions.
Realize ROI within 4 Weeks
Trusted Globally by the Best

Trusted Globally by the Best

The Old Way
Manual, reactive, and delayed releases
Planning tools & TMS systems rely on static, siloed data with no real-time quality context. Visibility tools log temperature or humidity but offer no predictive alerts, SOP benchmarking, or root-cause analysis.
The New Way
Automated, prescriptive, and real-time release
Decklar combines AI-powered decisions with real-time location & condition visibility, electronic proof of delivery (ePOD), and 10+ years of lane, node, and POI intelligence, enabling pre-arrival predictions, SOP-aware quality releases that are automated, auditable, and exception-driven across all stakeholders.
The Old Way
Manual, reactive, and delayed releases
Planning tools & TMS systems rely on static, siloed data with no real-time quality context. Visibility tools log temperature or humidity but offer no predictive alerts, SOP benchmarking, or root-cause analysis.
The New Way
Automated, prescriptive, and real-time release
Decklar combines AI-powered decisions with real-time location & condition visibility, electronic proof of delivery (ePOD), and 10+ years of lane, node, and POI intelligence, enabling pre-arrival predictions, SOP-aware quality releases that are automated, auditable, and exception-driven across all stakeholders.
How It Works:
A Simple 3-Step Journey
Day 1 – Unified Visibility
Whether it’s ambient, cold chain, or fragile cargo, Decklar delivers unified visibility across all milestones enriched with multimodal sensor intelligence. From package to container, each shipment is tracked in real time for key indicators like temperature, humidity, shock, and tamper (light) exposure.
Day 2 – Decision AI for Execution
Decklar turns condition signals into real-time, quality-specific decisions. A temperature rise triggers proactive warnings; a shock alert flags potential damage. Each signal is benchmarked against SOPs and lane-level risk patterns to drive timely action.
Day 3 – Decision AI for Planning
Decklar’s Decision AI flags high-risk lanes, POIs, and carriers based on historical quality data. It recommends alternate routes, carriers, ports, or SOP changes to reduce excursions and prevent quality failures.
Measurable Results for Every Stakeholder
95%
Audit readiness with automated release documentation
40%
Faster release cycles and root cause identification
30%
Fewer SLA breaches; consistent SOP enforcement across lanes
50%
Drop in detention-related claims
35%
Reduction in product rejections
25%
Fewer write-offs and better inventory availability
20%
Fewer customer complaints & lower rejection credits
1-3%
Additional revenue with improved on-shelf availability
2–4%
Higher margins with less recalls and better compliance
1-2%
Top-line growth via better availability and brand delivery
Success Story
$8.4M Saved as Pharma Distributor Automates Quality Release Across 81,000 Truckloads
A global distributor of temperature-sensitive and high-value pharmaceuticals relied on manual quality checks that caused delays, product loss, and compliance issues — especially across 81,000 full-truckload shipments each year. Decklar’s Decisions AI automated the company’s quality release using real-time condition data and predictive breach detection, enabling instant clearance for ambient shipments and early interventions for sensitive cargo.
The Result
By eliminating manual QA at the dock, the distributor accelerated shipment processing and reduced cold chain-related write-offs. AI flagged excursions in transit and applied risk-based tiering to prioritize critical inventory. The shift from reactive audits to intelligent automation improved SLA compliance, particularly for late-night and weekend deliveries where risk was historically highest.
Annual Truckloads
Secured
Annual Labor Savings
from QA Automation
Success Story
90%+ Cold Chain Compliance & Retained Market Share for a Global Chocolatier
A global chocolate manufacturer managing 24,000 monthly shipments was grappling with frequent spoilage and rejections due to poor cold chain compliance in a particular region. Manual audits and delayed inspections led to a 57% compliance rate and erosion of market share. Decklar’s Decisions AI automated quality release using real-time metrics like MKT and TOR, enabling targeted interventions and seamless clearance at the dock.
The Result
With automated QA in place, the company reduced dwell time and minimized contamination risk from manual inspections. Compliance surged past 90%, without major infrastructure changes. AI identified high-risk lanes and underperforming vendors, allowing for proactive remediation. This not only cut product loss but also protected retailer relationships in competitive emerging markets.
Monthly Shipments
Optimized
Annual Savings in
Rejections & Transport Spends
Annual Productivity Gains
for Quality Teams
Success Story
$8.4M Saved as Pharma Distributor Automates Quality Release Across 81,000 Truckloads
A global distributor of temperature-sensitive and high-value pharmaceuticals relied on manual quality checks that caused delays, product loss, and compliance issues — especially across 81,000 full-truckload shipments each year. Decklar’s Decisions AI automated the company’s quality release using real-time condition data and predictive breach detection, enabling instant clearance for ambient shipments and early interventions for sensitive cargo.
The Result
By eliminating manual QA at the dock, the distributor accelerated shipment processing and reduced cold chain-related write-offs. AI flagged excursions in transit and applied risk-based tiering to prioritize critical inventory. The shift from reactive audits to intelligent automation improved SLA compliance, particularly for late-night and weekend deliveries where risk was historically highest.
Success Story
90%+ Cold Chain Compliance & Retained Market Share for a Global Chocolatier
A global chocolate manufacturer managing 24,000 monthly shipments was grappling with frequent spoilage and rejections due to poor cold chain compliance in a particular region. Manual audits and delayed inspections led to a 57% compliance rate and erosion of market share. Decklar’s Decisions AI automated quality release using real-time metrics like MKT and TOR, enabling targeted interventions and seamless clearance at the dock.
The Result
With automated QA in place, the company reduced dwell time and minimized contamination risk from manual inspections. Compliance surged past 90%, without major infrastructure changes. AI identified high-risk lanes and underperforming vendors, allowing for proactive remediation. This not only cut product loss but also protected retailer relationships in competitive emerging markets.
Monthly Shipments
Optimized
Annual Savings in
Rejections & Transport Spends
Monthly Shipments
Optimized