Intugine's Transporter Recommendation API replaces that process with ranked, data-driven recommendations — L1, L2, and L3 transporters per lane — generated from 30 million+ historical trips, FASTag lane frequency data, and real-time availability signals.
What Is a Transporter Recommendation API?
A Transporter Recommendation API takes a freight lane (origin city and destination city) as input and returns a ranked list of transporters — ranked by their historical performance specifically on that lane.
It is used by:
The output is lane-specific — a transporter that excels on Mumbai-Pune may have poor performance on Delhi-Jaipur.
How L1, L2, L3 Ranking Works
For any origin-destination pair, Intugine's optimization engine scores all eligible transporters across five dimensions:
1. On-Time Delivery Rate (lane-specific) Derived from historical trip TAT data on the exact lane — not average across all lanes.
2. Load Acceptance Rate How frequently the transporter accepts loads on this lane when offered.
3. FASTag Lane Frequency How often the transporter's fleet has moved on this lane in the last 90 days.
4. Vehicle Availability Signal Real-time proximity of the transporter's available fleet to the origin.
5. Reliability Score Composite score incorporating documentation compliance, historical incident rate, and customer feedback signals.
The top-ranked transporter is L1. Second is L2. Third is L3.
Lane TAT Master API
Alongside transporter rankings, Intugine provides the Lane TAT Master API — returning historical average trip TAT for any origin-destination pair in India.
Use cases:
Derived from 30M+ trips across Indian freight corridors, updated monthly.
API Reference
``` POST /v1/optimize/transporter-recommendation { "origin_city": "Jamshedpur", "destination_city": "Mumbai", "vehicle_type": "32ft_sxl", "load_date": "2026-04-15" }
Response: { "lane": "Jamshedpur → Mumbai", "recommendations": [ { "rank": "L1", "on_time_rate": 0.91, "load_acceptance_rate": 0.87, "availability_signal": "high", "reliability_score": 88 } ], "lane_avg_tat_hours": 52.3 } ```
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Stop selecting vendors by habit. Start selecting by performance — lane by lane, load by load.
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