The paradox of “free” trade
India has steadily expanded its network of Free Trade Agreements (FTAs), opening preferential access to more markets for Indian businesses. With 15 FTAs in force, covering 27 countries, and more agreements under negotiation or awaiting implementation, Indian exporters have more opportunities to benefit from reduced tariffs than ever before!
The India–EU FTA, whose negotiations were concluded on 27 January 2026, is another significant step in that direction, granting Indian exporters preferential access on 97% of EU tariff lines. Yet access to an FTA does not automatically translate into utilization.
According to research from the Global Trade Research Initiative (GTRI), Indian exporters utilize only around 20–30% of the FTA benefits they are eligible for, compared with 60–70% utilization among exporters shipping goods into India under the same agreements.
The gap isn’t simply about exporters being unaware of FTAs or finding the tariff benefit too small to pursue. The larger challenge is operational: confirming eligibility, proving origin, and filing a claim requires pulling together data from six or more disconnected government and industry sources. Reconciling this information takes time and expertise that most micro, small, and medium enterprises (MSMEs) simply don’t have spare.
That is the hidden cost of “free” trade. Even when an FTA makes a duty line genuinely zero-rated, there is still a non-zero cost to discovering and acting on that benefit. Someone has to identify the correct classification, confirm the applicable Rules of Origin, check whether the preferential rate has changed, and verify that the information being used is current before a business can act on a benefit that, on paper, is already theirs.
The tariff benefit may already exist. The challenge is making that benefit usable. The challenge becomes clearer when viewed across the trade lifecycle: where fragmented data creates friction, why that friction weighs more heavily on MSMEs, how small gaps can translate into real financial impact, and how disconnected information can compound risk across decisions. More importantly, it points to what businesses need next – a more connected way to use trade data as India expands its FTA network, with the India–EU deal bringing that need into sharper focus.
Where The Fragmentation Actually Lives
For an exporter, determining whether a product qualifies for a preferential rate involves considerably more than looking up a tariff. The information required can span multiple sources, each authoritative within its own area of responsibility.
| Data source | What it primarily governs |
|---|---|
| DGFT (Directorate General of Foreign Trade) public notices | Policy and scheme changes |
| CBIC (Central Board of Indirect Taxes and Customs) / IceGate (Indian Customs EDI Gateway) tariff notifications | Duty rate changes, safeguard duties, and anti-dumping additions |
| ITC-HS classification master | Tariff-line classification |
| RoDTEP appendices | Incentive rates by HSN code |
| State-level industrial & export incentive policies | Location-based incentives |
| ITC Trade Map / Rules of Origin (RoO) Facilitator | Origin thresholds, sourcing, and market benchmarking |
| WTO / ITC Rules of Origin (RoO) Facilitator | FTA origin rules and certification criteria. |
None of these sources is unreliable on its own. Each is authoritative within its own remit – DGFT is the right place to check policy, CBIC/IceGate is the right place to check duty, and the ITC-HS master is the right place to check classification. The deficiency here isn’t a data-quality problem but a structural one. Nothing keeps these sources synchronized around a single product code. When one source changes, such as a new RoDTEP rate, there is no built-in mechanism to propagate that change to the systems or people still relying on the old number.
The Impact on MSMEs
The structural gap does not affect every exporter in the same way. A large exporter can distribute the cost of monitoring multiple sources across a dedicated trade-compliance team, external consultants, or specialized technology systems. The monitoring effort may increase with shipment volume, but the organization has the resources to absorb it.
For an MSME, the same cost is often concentrated in one or two people, sometimes the owner, finance lead, or operations team, who are already responsible for several other business functions. The result is a cost that becomes disproportionately significant relative to the volume of trade.
This lines up with GTRI’s own finding: high documentation and compliance costs, especially around rules of origin and certification, are a primary reason Indian exporters, particularly SMEs, give for not using FTA benefits they’re technically eligible for. That framing understates what’s actually happening. It isn’t that paperwork volume is the problem; it’s the search cost of finding the right paperwork across sources that don’t talk to each other. In that sense, fragmentation becomes a regressive cost embedded in the way trade information is organized. Everyone encounters it, but MSMEs have fewer resources to absorb it.
From Friction To Real Money
Seen financially rather than administratively, fragmentation shows up as two distinct pools of unrealized value. The first is eligible-but-unclaimed FTA duty savings. A product may qualify for a preferential rate, but if nobody regularly compares that rate against the MFN rate or evaluates alternative sourcing origins, the potential savings can remain invisible.
The second is an eligible-but-unclaimed incentive value under schemes like RoDTEP, Duty Drawback, and EPCG (Export Promotion Capital Goods). Each operates through its own rules and requires ongoing monitoring rather than a one-time registration to keep capturing.
The pattern is predictable: these gaps are largest exactly where fragmentation is worst, particularly across SKUs and HSN codes a business hasn’t reviewed recently. This is because properly reviewing them requires reopening five or six separate lookups rather than checking one place. A rate change nobody caught, a scheme update nobody flagged, a classification nobody revisited since the last audit. Each one may look small in isolation, and each starts to compound in significant impact as it sits unreviewed.
Why The Cost Compounds, Not Just Adds Up
This is where the connectivity argument earns its place rather than being asserted. Consider a realistic chain, generalized rather than tied to any real shipment. A classification error in the ITC-HS lookup creates the wrong starting point for the entire exercise. That classification can then lead to an incorrect determination under the Rules of Origin. The result could be a missed preferential claim or, more seriously, a claim that appears valid until a post-clearance audit challenges it, potentially exposing interest and penalty.
At the same time, a stale duty or incentive figure can affect a landed-cost calculation. If that calculation feeds into a sourcing decision weeks or months later, the original data error may already have traveled far beyond the system in which it originated.
Because none of the underlying systems can flag the others, each disconnected lookup is an independent point where staleness or human error can enter, and the effects don’t stay contained to the step where they occurred. They carry forward into every downstream decision that relied on them. That is the actual mechanism by which data fragmentation erodes FTA benefits. It is not a general observation but a specific way errors propagate when no one is monitoring the connections between systems.
What Closing The Digital Gap Actually Requires — Connectivity, Not Another Portal
Most trade-data initiatives have made information more accessible and processes more digital. That is an important foundation. But digitization alone does not solve fragmentation. A PDF notice made searchable online is digital. It is still a standalone piece of information that someone has to find, interpret, and connect to the business context.
A connected layer is of a different kind. It’s one where a classification, a duty rate, an origin threshold, and an incentive eligibility all sit against the same product record and update together, so a change anywhere is visible everywhere it matters, without anyone having to go looking for it. This shift from digitized information to connected intelligence is where the next opportunity lies.
Two capabilities are particularly important. First is data freshness and confidence. When regulatory information changes frequently, knowing the current value is only part of the equation. Businesses also need visibility into how current that information is, when it was last updated, and whether a downstream decision may have been based on an older version.
Second is connecting regulatory change to business impact. A new RoDTEP rate or safeguard duty should not simply arrive as another notification for someone to read. A connected system should be able to identify the affected product codes, assess the potential business impact, and direct attention to decisions that may need to change. That is the difference between receiving information and being able to act on it.
Why The Stakes Rise With Every New FTA and Why The India–EU Deal is The Forcing Function
Fragmentation becomes more difficult to manage as India’s network of trade agreements expands. Every new FTA introduces its own tariff schedules, Rules of Origin, eligibility conditions, and tariff-line permutations. These then have to be considered alongside the 15-plus existing agreements already in force across India.
A product that qualifies under one agreement but not another is not unusual. The complexity comes from determining which rules apply to which product, in which market, and under which sourcing configuration.
The India–EU FTA makes this particularly relevant. As a large, high‑value agreement with a wide range of tariff lines, it adds another significant layer of opportunity and information that exporters will need to operationalize. Businesses that wait until entry into force to start reconciling their data will be doing so under time pressure, reacting to a live deadline rather than building on planned groundwork.
Closing The Gap Before The Next Notification Costs You a Shipment
For many businesses, the relationship with trade data follows a familiar progression. It starts with scattered PDFs and ad hoc portal checks, then centralized internal tracking in spreadsheets or on shared drives once the ad hoc approach stops scaling. Eventually, organizations that can scale beyond manual monitoring move toward a connected data layer, where classification, origin, duty, and incentive information can be viewed together alongside the products and markets they affect.
The businesses that capture more of the value created by India’s expanding FTA network will not necessarily be those with the most favorable tariff lines. Many exporters in the same sector operate against broadly similar trade schedules. The difference will increasingly come from how quickly and confidently they can turn changing trade information into business decisions. That means knowing when a tariff changes, which products are affected, whether an origin requirement changes the economics of a sourcing decision, whether an incentive is still available, and what action is required.
The India–EU FTA provides an immediate forcing function for this shift. But the underlying requirement extends beyond a single agreement. As India’s trade ecosystem becomes more globally connected, the ability to connect trade data internally will become just as important.
The next phase of trade digitization, therefore, should be measured not only by how much information is available online but also by how effectively businesses can turn that information into decisions.
In our advisory work with exporters preparing for the India–EU FTA, this is consistently where the real gap sits: not in whether a tariff line is favorable, but in whether a business can act on that information before it changes again.
Every organization has a different starting point. Understanding where trade data sits today, how it moves across systems, and where gaps create friction is the first step.
Doing so requires more than digitized information. It requires processes that bring compliance, calculations, documentation, and transactions together while keeping the decisions behind them traceable and auditable.
SRM Tech’s digital trade capabilities bring these pieces together to help businesses:
- Capture more value by comparing MFN and FTA duties, identifying eligible incentives, and automating duty drawback calculations.
- Reduce compliance risk through HSN classification, Rules of Origin validation, restricted-party screening, and auditable business rules.
- Improve transaction visibility by connecting ERP, TMS, DGFT, and customs systems across the trade lifecycle.
- Accelerate documentation through automated e-invoicing, E-BL, E-CO, packing-list, and DGFT documentation workflows.
- Respond faster to change with AI/ML-enabled automation, cloud-native architecture, and continuous monitoring of duties, claims, and exceptions.
Together, these capabilities can help create a more transparent and responsive trade environment from identifying eligible benefits and validating compliance to processing documentation and monitoring transactions.
Every organization has a different starting point. Understanding where trade data sits today, how it moves across systems, and where gaps create friction is the first step towards strengthening the trade ecosystem. Talk to SRM Tech’s supply chain and trade experts to explore your current landscape and identify opportunities to simplify, integrate, and strengthen your FTA processes.









