Pakistan’s textile spinning sector sits at the beginning of the value chain that feeds weaving, knitting, processing, and garment exports, and it is also a point where documentation gaps can translate into large-scale tax leakage. That is why the Federal Board of Revenue (FBR) has begun treating spinning as a “high-risk” production segment for electronic monitoring and is now openly considering expanding Track and Trace System (TTS) style controls and broader production monitoring into spinning units. A January 2026 Business Recorder report states that after implementing TTS in tobacco, sugar, cement, and fertilizer, the FBR is planning to install electronic monitoring systems for production and TTS in tile units, textile spinning factories, and Green Leaf Threshing units.
The core compliance risk in spinning is the use of undocumented cotton bales, commonly described in Pakistan as “Gol Mall,” and the downstream underreporting that can follow. In November 2025, FBR issued Sales Tax General Order (STGO) No. 08 of 2025, directing all registered persons engaged in textile spinning to install a video analytics solution for “electronic monitoring of production by counting cotton bales,” using video surveillance and analytics. The order cites Section 40C(2) of the Sales Tax Act, 1990, and Rules 150ZQR and 150ZQT of Chapter XIV-BA of the Sales Tax Rules, 2006. It requires production monitoring equipment at production lines, blendomats, and auto-plucker machines, using vendors approved by FBR, and sets 31 December 2025 as the installation deadline. The same STGO instructs field formations to prioritize “high-risk registered persons” in spinning who are using undocumented cotton bales.
This step is consistent with the earlier direction captured in an October 2025 notification that production of registered spinning units would be electronically monitored through video analytics, with implementation referenced under S.R.O. 1963(I)/2025 and the same Rule 150ZQR framework, taking effect from 1 November 2025. Taken together, these measures show that FBR is already building the foundations of a production monitoring regime in spinning. The remaining policy question is how to convert monitoring into end-to-end traceability that closes gaps across procurement, processing, and sales, which is precisely where a TTS model becomes relevant.
A strong case for implementing TTS in spinning rests on three realities.
First, spinning is measurable. Unlike fragmented retail markets, spinning is concentrated in identifiable premises where inputs and outputs can be observed, counted, and reconciled. FBR’s choice of equipment points, blendomats, and auto-pluckers reflects that production activity can be translated into data signals that support tax verification.
Second, the incentives to evade taxes are well-documented in Pakistan’s textile tax history. Sales tax fraud through non-existent or “dummy” units and invoice manipulation has repeatedly appeared in enforcement reporting, and the spinning and yarn trade has been part of those patterns.
Dawn reported a major yarn-related fraud case involving Rs. 762.6 million, in which investigators alleged manipulation linked to transactions involving multiple spinning units. Even when such cases are rare, they show why a system based solely on periodic audits is not enough in a high-volume industrial chain.
Third, industry itself is arguing for deeper traceability, which strengthens the policy rationale for a TTS expansion rather than weakening it. In early January 2026, The News reported that APTMA called for video analytics and a national cotton traceability system at the ginning stage, pointing to a gap between estimated cotton production and bales reported at ginneries. The report cites Punjab’s provisional cotton production estimate of 3.81 million bales for 2025–26, versus only 2.45 million bales reported at ginneries, leaving a discrepancy of about 1.35 million bales in Punjab alone. APTMA’s position is that upstream traceability is essential because spinning surveillance alone may not entirely stop undocumented cotton from entering the chain.
A well-designed TTS for the spinning sector should therefore be framed as a chain solution rather than a factory-only tool. Video analytics can establish verified production signals inside mills, while TTS-style serialization and digital linkage can connect inputs and outputs to tax and commercial documentation. Practically, that can mean: tagged cotton bale identifiers that link to procurement documentation, digital recording of bale processing volumes verified by video analytics, serialized yarn lot identifiers at packing, and invoice-to-lot matching that allows Inland Revenue to reconcile declared sales with production reality. The purpose is not to burden compliant exporters; it is to remove the cost advantage of undocumented inputs and underreported production, which damages formal businesses and reduces investment appetite.
This is also why the January 2026 indication that FBR is “eyeing” spinning for TTS and stronger electronic monitoring matters. It signals that Pakistan is moving toward the same compliance logic already applied in other revenue-significant sectors, shifting from episodic enforcement to systems that produce continuous, audit-ready evidence. If implemented with credible governance, approved vendors, and transparent data protections, TTS in spinning can support three outcomes that align with national economic objectives: better documentation of cotton inflows, reduced space for tax evasion through undocumented production, and a more predictable operating environment for formal investors across the textile value chain.