From Guesswork to Precise
In-Transit Revenue Forecasting
Achieve 99%+ accuracy in revenue forecasting by predicting delivery ETAs of order in transit & associated revenue recognition for the quarter. Reduce audit risks such as ASC 606/IFRS 15 and avoid under- or over-reporting revenue to improve investor confidence with precise, automated revenue reporting.
Realize ROI
within 2 Weeks
From Guesswork to Precise In-Transit Revenue Forecasting
Achieve 99%+ accuracy in revenue forecasting by predicting delivery ETAs of order in transit & associated revenue recognition for the quarter. Reduce audit risks such as ASC 606/IFRS 15 and avoid under- or over-reporting revenue to improve investor confidence with precise, automated revenue reporting.
- Realize ROI within 2 Weeks
Trusted Globally by the Best

Trusted Globally by the Best
The Old Way
Under or over-reporting of revenue with guesswork
Planning tools & TMS systems rely on static, manual data. Visibility tools like carrier aggregation, track & trace, and macro risk platforms show cargo movement, but lack ETA precision and revenue context, leading to erroneous revenue reporting.
The New Way with Decision AI
Accurate, automated, audit-ready forecasts
Decklar fuses AI-powered decisions with real-time visibility and 10+ years of lane, node, and POI intelligence, enabling precise revenue forecasting month-on-month and better collaboration across Finance, Supply Chain, and Logistics teams.
The Old Way
Under or over-reporting of revenue with guesswork
Planning tools & TMS systems rely on static, manual data. Visibility tools like carrier aggregation, track & trace, and macro risk platforms show cargo movement, but lack ETA precision and revenue context, leading to erroneous revenue reporting.
The New Way with Decision AI
Accurate, automated, audit-ready forecasts
Decklar fuses AI-powered decisions with real-time visibility and 10+ years of lane, node, and POI intelligence, enabling precise revenue forecasting month-on-month and better collaboration across Finance, Supply Chain, and Logistics teams.
How It Works:
A Simple 3-Step Journey
Day 1 – Unified Visibility
Decklar’s Unified Visibility Platform is built to cover 100% of your flows. Whether it’s a package, pallet, or container moving by air, ocean, rail, or road, it delivers the right visibility signals — at the right cost to scale — based on the shipment criticality.
Day 2 – Decision AI for Execution
Decklar turns raw visibility signals into insights using your business data. Signals on ETA, milestones, and detention at delivery points, along with order value, offer precise revenue forecasts day by day & enable delivery prioritization for revenue maximization.
Day 3 – Decision AI for Planning
Decklar’s Decision AI platform acts as a planning co-pilot. It recommends optimal trade lanes, modes, carriers, or shipping nodes to reduce delivery risk and maximize revenue recognition opportunities.
Measurable Results for Every Stakeholder
99%+
Compliance in audits (ASC 606 / IFRS 15); 0 penalties
25–40%
Improvement in cash flow predictions
20–30%
Increase in staff productivity
20%+
Improvement in on-time, in-full (OTIF) deliveries
12–15%
Additional revenue recognized in a financial period
10-15%
Lesser inventory holding & faster order to cash
15–20%
Improvement in CSAT scores
1-3%
Revenue rise through reliable order communications
3–5%
Higher market share
2–3 weeks
Cash availability to finance growth
99%+
Compliance in audits (ASC 606 / IFRS 15); 0 penalties
25–40%
Improvement in cash flow predictions
20–30%
Increase in staff productivity
20%+
Improvement in on-time, in-full (OTIF) deliveries
12–15%
Additional revenue recognized in a financial period
10-15%
Lesser inventory holding & faster order to cash
15–20%
Improvement in CSAT scores
1-3%
Revenue rise through reliable order communications
3–5%
Higher market share
2–3 weeks
Cash availability to finance growth
Success Story
$6M in Capital Efficiency Unlocked as Global Electronics Leader Improves In-Transit Forecasting
A global electronics supplier managing 10,000 full-truckload shipments per quarter lacked visibility into in-transit orders, leading to revenue misreporting and last-minute financial adjustments. With unreliable ETAs, the company struggled to meet quarterly recognition deadlines. Decklar’s Decision AI transformed in-transit revenue forecasting by predicting shipment arrival times and flagging delays, enabling smarter revenue alignment and prioritization.
The Result
Real-time visibility combined with predictive ETA confidence gave finance and supply chain teams the visibility they needed to plan accurately. Instead of scrambling to reconcile revenue at quarter-end, the organization transitioned to data-driven forecasting across multimodal flows, including containers and LTL. Capital efficiency improved, and historical lane behavior was used to fine-tune future planning cycles.
Quarterly Shipments
Forecasted
High-Case
ROI
Success Story
$6M in Capital Efficiency Unlocked as Global Electronics Leader Improves In-Transit Forecasting
A global electronics supplier managing 10,000 full-truckload shipments per quarter lacked visibility into in-transit orders, leading to revenue misreporting and last-minute financial adjustments. With unreliable ETAs, the company struggled to meet quarterly recognition deadlines. Decklar’s Decision AI transformed in-transit revenue forecasting by predicting shipment arrival times and flagging delays, enabling smarter revenue alignment and prioritization.
The Result
Real-time visibility combined with predictive ETA confidence gave finance and supply chain teams the visibility they needed to plan accurately. Instead of scrambling to reconcile revenue at quarter-end, the organization transitioned to data-driven forecasting across multimodal flows, including containers and LTL. Capital efficiency improved, and historical lane behavior was used to fine-tune future planning cycles.