Automotive sensors are now at the heart of a vehicle’s added value. However, in trade practice, sensors are prime examples of products whose tariff classification tends to fluctuate. This is because they continuously straddle the boundary between vehicle parts, electrical machinery, measuring instruments, or semiconductor devices.
HS2028 will enter into force on January 1, 2028. When the first six digits of the HS change, there will be cascading impacts on import/export declarations, certificates of origin, internal master data, and item management with trading partners. Sensor groups, in particular, are an area prone to widespread disruption during the transition if classification rationale remains ambiguous.
This article provides a deep dive into how transition decisions for automotive sensor groups under HS2028 should be approached from management, business, SCM, and trade compliance perspectives, broken down into actionable practical steps. Priority is given to regulatory accuracy, organized based on reliable primary information.

Key Official Timeline for HS2028 to Understand First
HS2028 is not simply about “numbers changing in 2028.” The starting point for preparation is January 2026.
The World Customs Organization (WCO) provisionally adopted the HS2028 amendment recommendation at the 75th HSC session in March 2025, which was officially adopted at the end of December 2025, to be published in January 2026, and will enter into force on January 1, 2028.
The WCO is also preparing Correlation Tables between HS2028 and the current HS2022, which will serve as important reference materials for implementation.
In other words, the realistic battleground for companies is how thoroughly they can finalize classification rationale and master data preparation between 2026 and 2027.
Why Automotive Sensors Are Prone to Classification Fluctuation
Even When You Want to Treat Them as Vehicle Parts, HS Rules May Not Allow It
A common misconception at the operational level is the assumption that “since it’s used in vehicles, it should be vehicle parts (Chapter 87).” However, the HS is not a system determined solely by use.
Note 2 of Section XVII (Vehicles, etc.) of the HS clearly lists items that are not classified as “parts and accessories,” which includes “electrical machinery of Chapter 85” and “instruments of Chapter 90 (measuring, testing, etc.)”.
In other words, if a sensor falls under Chapter 85 or Chapter 90, it cannot in principle be classified as vehicle parts, even if it is exclusively for automotive use. This is the fundamental difficulty in sensor classification.
The Concept of Sensors as Semiconductors Is Already Built into the HS
HS2022 defines “semiconductor-based sensors” within the definition of semiconductor devices. This refers to devices that detect physical or chemical quantities such as pressure, acceleration, magnetic fields, light, humidity, etc., and convert them into electrical signals.
More importantly, there is a priority rule whereby headings 8541 and 8542 take precedence over other headings for articles falling under these definitions.
Due to this structure, even with the same term “sensor,” they can branch into:
- Sensors as semiconductor devices
- Sensors as measuring instruments
- Sensors as electrical machinery
- Sensors as vehicle parts
The transition decision to HS2028 has a high probability of failure if this branching is left unaddressed and replacement is done using only correlation tables.
Aligning the Prerequisites for Transition Decisions
HS2028 compliance is not a code replacement exercise, but an inventory of classification rationale. For sensor groups in particular, aligning the following two items first makes subsequent processes more resilient.
Divide Product Groups into “Elements,” “Modules,” and “Assemblies”
Even when we say automotive sensors in one breath, the form in which they are imported/exported differs. It is here that classification actually changes.
- Element-leaning: Dies, wafers, items close to packaged ICs
- Module-leaning: Items including PCBs, connectors, housings, correction circuits, communication interfaces
- Assembly-leaning: Items integrated with harnesses, brackets, or specific functional units of vehicles
Even for sensors performing the same function, the candidate chapter can change due to these differences in form, which cannot be absorbed by HS2028 correlation tables alone.
Translate Technical Information into “Descriptions for Classification” and Organize
Companies that reach impasses in classification discussions often have design documents but lack descriptions necessary for classification decisions. At a minimum, aligning the following items for each product increases decision speed:
- Detection target (pressure, acceleration, light, electromagnetic waves, etc.) and detection principle
- Whether output is electrical signal or data communication
- Scope of built-in circuitry (signal conversion only, or including computation/control)
- Implementation form (semiconductor chip, package, board mounting, housing integration)
- Possibility of diversion to non-vehicle applications (dedicated vs. general-purpose)
- Components at time of import/export (treatment of accessories, cables, software)
Once this translation is achieved, the applicability of HS Section Notes and Chapter Notes can be logically traced.
HS2028 Transition Decision Framework for Automotive Sensor Groups
This is where the main discussion begins. We structure the HS2028 transition decision to be resilient from both decision-making and implementation perspectives.
Step 1: Classify the Basis of Current Codes
First, classify “why that code” for current HS codes into four categories:
- Based on written responses or advance rulings from customs
- Based on official classification examples of similar products
- Adopted presentations from customs brokers or trading partners
- Decided by internal company practice
These four carry completely different risks during HS2028 transition. Especially for the latter two, reconstruction of the basis is necessary before applying correlation tables.
Step 2: Converge Issues at the 6-Digit Level First
The HS uses six digits as the internationally common foundation, with countries adding subdivisions below that. HS2028 amendments also change the structure first at the 6-digit level.
For sensor group transition decisions, it is faster and more reliable to establish the logic of 6-digit classification rather than immediately diving into country-specific subdivisions (such as Japan’s 9 digits). The aforementioned Section Notes become important here. Even if you want to lean toward vehicle parts, you must first acknowledge that they may be excluded if they fall under Chapter 85 or 90.
Step 3: Use Correlation Tables as a “Starting Point,” Not a “Replacement Table”
The WCO is preparing correlation tables between HS2028 and HS2022, which will serve as important reference materials for implementation.
However, correlation tables do not guarantee:
- That the old classification was correct
- That country-specific subdivisions correspond directly
- Essential classification judgment for composite products or modules
Therefore, after applying correlation tables, it is practical to keep boundary items within sensor groups as subjects for re-determination.
Step 4: Do Not End Impact Assessment with Tariffs Alone
For business transition decisions, focusing only on tax rates leads to failure. Automotive parts in particular have high EPA utilization rates, and alignment with rules of origin directly impacts profit.
In other words, the HS2028 transition affects not only tariff rate changes but also origin determination logic and agreement version management.
For Sensor Groups Difficult to Determine, Use Advance Rulings Strategically
Sensors tend to overlap elements of composite products, new technologies, and semiconductor boundaries, and relying solely on internal decisions creates inconsistency. Here, advance rulings from customs become effective.
Japan Customs provides advance ruling as a system where classification and tariff rates can be inquired about before import and written responses obtained. This makes cost calculation and sales planning easier, and clearance becomes smoother as the tariff number is fixed before declaration.
Furthermore, written responses are in principle respected for a certain period, and are handled consistently across all customs offices nationwide, providing operational stability.
For HS2028 transition decisions, not all items need advance rulings. Cost-effective types include:
- Sensors on the boundary between 8708 (vehicle parts) and Chapters 85/90
- Products on the boundary between elements and modules (same model number with multiple shipping forms)
- Products bound for high-tariff countries where rate differences affect profitability
- Products where EPA applicability determines project profitability
A Practical “Transition Decision” Landing Point for Management and Operations to Agree On
We now translate the discussion so far into decision-making. The key is creating reproducible internal decision criteria rather than finding the correct classification.
Divide Transition Decisions into Three Tiers
Sensor groups have different certainty levels for each product. Dividing decisions into the following three tiers advances decision-making:
- Confirmed tier: Public basis exists, and smooth transition via correlation tables under HS2028 is highly likely
- Verification-required tier: Correlation tables can be applied, but boundary issues remain, requiring re-determination
- External confirmation-required tier: Advance rulings or major country determinations should be obtained
With this classification, company-wide workload and costs can be estimated in 2026.
Dual Master Data Is Often the Realistic Solution
The effective date of HS2028 is January 1, 2028. Since import declarations are in principle made using the latest HS at that point, last-minute bulk updates are risky.
What is realistic for many companies is to:
- Maintain current HS (for operations)
- Maintain next-generation HS (assuming HS2028)
in coexistence in the master data, designed to be selectively used by transaction, country, and timing. This design becomes particularly effective later for origin determinations where HS versions differ by agreement.
Practical Roadmap from 2026
Finally, we make company actions concrete. Aligning with the WCO’s official schedule, 2026 is the starting point for preparation.
First Half of 2026
- Thoroughly read WCO-published HS2028 amendment content and identify impact scope for sensor groups
- Inventory the basis of current classification and separate verification-required and external confirmation-required tiers
- Begin trial production of primary mapping using correlation tables (provisional)
Second Half of 2026 Through 2027
- Re-determination of boundary items and documentation of internal classification standards
- Progress advance ruling acquisition for necessary items (especially high-tariff countries, EPA-critical items)
- Design dual-code operations for ERP, PLM, trade systems, and customer-submitted documents
Second Half of 2027 Through Just Before 2028
- Replacement with finalized versions of country-specific subdivisions, final testing
- Final confirmation of item master matching with trading partners, invoice descriptions, and EDI impacts
- Operational switchover aligned with effective date
Summary
The greatest danger in HS2028 transition decisions for automotive sensor groups is mechanically replacing via correlation tables and carrying forward the weakness of current classification rationale as-is. Sensors have the structural difficulty of the HS whereby even if they appear to be vehicle parts of Chapter 87, parts treatment can be excluded if they fall under Chapter 85 or 90.
On the other hand, the timeline is clear. Amendment recommendations will be published in January 2026, entering into force on January 1, 2028.
During these two years, inventory sensor groups by element/module/assembly, reconstruct them into strongly-grounded classifications, confirm necessary items via advance rulings, and prepare master data and systems for dual operations. This is the transition decision that minimizes losses for both management and operations.

