How do PM GatiShakti and the National Logistics Policy, 2022 complement each other in reducing India's logistics costs? What structural gaps remain?

India's logistics cost was long put at 13–14% of GDP, far above global benchmarks [3]. The PM GatiShakti National Master Plan (2021) and the National Logistics Policy (NLP, 2022) work as the "hardware" and "software" of one reform. They complement each other, but turning plans into finished projects is still the weak link.

How they complement each other

• Infrastructure vs services: GatiShakti plans physical networks on one GIS platform that covers 58 Central Ministries/Departments and all 36 States/UTs [1]. The NLP deals with processes, digital systems, regulation and skills [3].
• Planning vs movement of goods: The Network Planning Group (NPG) checks projects for multimodal and last-mile links, so clashes with forests or utilities surface early [1]. The NLP's ULIP pools ministry data so cargo can be tracked in real time [3].
• Centre–State synergy: GatiShakti's District Master Plans and the NLP-led State Logistics Policies, now adopted by 27 States/UTs, take reform down to sub-national level. This is cooperative federalism in action [1][4].
• Shared targets: Both work toward the NLP's goals of costs at global benchmarks and a top-25 LPI rank by 2030 [4]. India rose from 44th (2018) to 38th (2023) [7].

Structural gaps that remain

• Appraised is not built: By Feb 2026 the NPG had evaluated 352 projects worth ₹16.10 lakh crore. Only 201 were sanctioned and 167 under implementation [6].
• Roads lag: MoRTH had only 55 of 164 evaluated projects under implementation, against 83 of 137 for Railways [6]. Land acquisition and contracting lie outside the platform.
• No statutory teeth: GatiShakti is an executive framework approved by the CCEA [2]. Its bodies can advise, but they cannot compel States or speed up clearances.
• Measurement gap: The NCAER estimate of 7.97% of GDP uses a new method, so it is a baseline, not proof of a fall from 13–14% [5]. The LPI is perception-based [8].
• Uneven burden: Smaller firms bear noticeably higher logistics costs [5].
• Stale data risk: States update their data layers through DUMS, so the platform is only as current as their uploads [1].

Together, GatiShakti and the NLP have largely solved the information problem behind siloed planning; execution is now the main challenge. The newly approved ITLA should track every appraised project through to completion [1], DPIIT should repeat the NCAER study using the same method, and States should treat land and data as shared duties. That follow-through can turn integrated planning into single-digit, globally competitive logistics costs, in line with SDG 9 on resilient infrastructure.