Overview

What this is. Cargo tonnage handled by Indian and international airports, assembled from published statistics. Every number below was read from a source document and can be traced back to it, nothing here is estimated or generated.

Busiest airports

Freight handled in the latest month held, with change against the same month a year earlier.

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MT = metric tonnes · click a row for the full history

Airline cargo share

Total freight carried per airline across all periods held. Industry-wide totals are excluded so carriers are not double-counted.

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One airport, in full. Monthly history, where the statistical model expects it to go next, and anything flagged as unusual. The shaded band is the range the forecast considers likely.

Select an airport

Monthly freight tonnage with a three-month projection.

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More flights, or fuller flights?

Freight is flights multiplied by the tonnes each one carries, so a year’s change splits exactly between the two. They need different responses: more flights needs slots and stands, fuller flights needs handling and warehousing.

Reading this airport

Plain-language summary of what the series shows.

Flagged months

Months where observed traffic departed from the seasonal pattern.

What drives the number. Tonnage says how much moved. These say how well, and where from. Cargo load factor is freight tonne-kilometres over the capacity offered: it separates growth that came from flying more from growth that came from filling what was already flying.

What drove the change

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Each airport’s change measured against the national base, so the contributions add up to the national figure rather than merely ranking movers. A small airport doubling has a spectacular growth rate and a negligible contribution.

Cargo intensity by airport

How much freight each departure actually lifted, and how much rode alongside each passenger. Volume and intensity are different things: the busiest airport is not always the most cargo-dense.

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Freight, flights and passengers taken from the same publisher’s release for the same month.

Market concentration

How evenly freight is spread across airports, month by month.

Freighter or belly hold?

Whether a carrier’s freight moves with its passenger flying.

Carrier efficiency

Load factor, tonnes lifted per departure, and mail’s share of what was carried.

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How these are produced. Each series is fitted with SARIMA, a statistical model for seasonal time series, and checked by rolling-origin backtesting: the model is repeatedly asked to predict a month it was not shown, and the average error of those attempts is reported as MAPE. A 6% MAPE means past predictions were typically within 6% of what actually happened. Lower is better; a forecast without an error figure is a guess.

Projections

Predicted freight with an 80% interval: the range the model expects the true value to fall in four times out of five.

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What counts as an alert. Seasonality is removed from each series, then months whose remainder is far from typical are flagged. Expected is what the seasonal pattern implied; observed is what was published. A large gap is not necessarily an error, a new terminal opening looks the same as a data problem, and both are worth a human look.

Flagged movements

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Written explanations

Narrated from the flagged figures. Every number is checked against a stored row before publishing; anything that does not resolve is rejected rather than shown.

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Ask the data

Questions are mapped onto registered metrics and answered by SQL. The model never calculates a figure: it reads rows it was handed.

The monthly brief. A standing report generated from the same figures shown elsewhere, written for someone who wants the month summarised rather than explored. Open standalone ↗
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Why this exists. The data is assembled by agents that choose their own steps rather than following a fixed script. Each run records the goal, every tool it called, the reasoning behind the choice and what came back: so a figure can be audited back through the decisions that produced it. A tool called more often than the runs that used it is one an agent had to retry.

Decision replay

Recorded trace, replayed at reading pace.

    Tool usage

    Retries are the loop recovering.

    Who decided

    Per-step policy provenance.

    Recorded runs

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    Where every figure comes from. Each fact carries a foreign key to the document it was parsed from, enforced by the database rather than by convention: a fact without a source cannot be stored at all.

    Publishers

    Documents retrieved and facts extracted from each.

    Passage index

    Source text indexed so a citation can point at a paragraph, not a whole PDF.

    Search the source documents

    Dense vector similarity and keyword search, fused. Returns the passage, never a computed number.

    System health

    Last pipeline run, stage by stage, and the counters exposed for monitoring.