Logistics Optimization Patents: Top Companies & Filing Trends 2026
- 82.1% concentration. The top 5 of 173 records in scope, 142 filings, sit with a small group of assignees, leaving a long tail of single- or few-filing entrants.
- +500% filing growth. Annual filings rose from 3 in 2021 to 18 in 2024, the last year the dataset treats as complete, before the usual 18-month publication lag thins out 2025-2026.
- AI is now core, not peripheral. G06N (AI models) appears in 33.5% of the 173 records and B25J (manipulators & robots) in 16.2%, alongside the 74.0% base of G06Q business-process claims.
Filing growth compares 2021 (3 records) with 2024 (18) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 173 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This landscape maps 173 published patent records filed against a search combining logistics optimization, routing and supply-chain terms with hardware and data concepts such as item identifiers, handling units, transport routes, inventory locations, protective packaging and load carriers. The scope spans 2015 to the 2026-08-31 data cut-off, capturing both the software-heavy optimization layer and the physical handling equipment it coordinates.
Because publication trails filing by roughly 18 months, the most recent filing years are undercounts by construction, not evidence of a slowdown. Family-level counting throughout this landscape reduces the distortion that comes from continuation filings and multi-jurisdiction duplicates of the same invention.
Filing trend and technology composition
Two views of the same 173-record dataset: how filing activity has moved year over year, and which IPC subclasses the claims actually sit in.
Filing trend, 2017-2026
Annual filings moved from a single record in 2017 to a peak of 60 in 2023, with the 2021-2024 span alone showing filings rise from 3 to 18 — a +500% increase over three years. 2025 and 2026 figures will continue to fill in as later-filed applications publish.
IPC subclass composition
G06Q (business, commerce & admin data processing) covers 74.0% of the 173 records, confirming this is primarily an optimization-and-planning field rather than a pure-hardware one. G06N (AI models, 33.5%) and G06F (electric digital data processing, 30.1%) trail close behind, while B25J (manipulators & robots, 16.2%) and G05D (control of non-electric variables, 13.3%) mark where the physical handling layer is claimed. Because records carry multiple classes, these shares sum to well over 100% of the 173-record base by design.
Shares are the percentage of the 173 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Logistics Optimization Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about logistics optimization patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaMost-cited records in the dataset
Systems and methods for data ingestion for supply chain optimization (US20240112110A1)
The filing describes ingesting raw client enterprise data, profiling it, and applying a set of mapping AI models — one model per input feature of an optimization model — with a human-reviewable live preview that lets an operator correct mappings and update the individual model responsible.Filed by OII, INC., published 2024-04-04.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20230123322A1 | Predictive Model Data Stream Prioritization | 338 |
| 2 | US20220245574A1 | Systems, Methods, Kits, and Apparatuses for Digital Product Network Systems and Biology-Based Value Chain Net… | 194 |
| 3 | US20230222454A1 | Artificial-Intelligence-Based Preventative Maintenance for Robotic Fleet | 140 |
| 4 | US20030149631A1 | System and method for order planning with attribute based planning | 137 |
| 5 | WO2022240906A1 | Systems, methods, kits, and apparatuses for edge-distributed storage and querying in value chain networks | 126 |
| 6 | US20230222531A1 | Autonomous Contingency-Responsive Smart Contract Configuration System | 113 |
| 7 | US20230098602A1 | Robotic Fleet Configuration Method for Additive Manufacturing Systems | 109 |
| 8 | US6898472B2 | System and method for order group planning with attribute based planning | 104 |
| 9 | US20030126024A1 | System and method for replenishment by purchase with attribute based planning | 103 |
| 10 | US20230083724A1 | Control-Tower-Enabled Digital Product Network System for Value Chain Networks | 101 |
Citation counts inside this corpus skew toward older, longer-indexed records — read them as a signal of influence on later filings, not of present-day importance.
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Browse MCP servers →What the concentration and citation data signal
Read together, the assignee concentration, citation spread and IPC mix point to a field where the largest players hold broad process claims while the physical-execution layer stays comparatively open.
A small group holds most of the claim space
The top 5 assignees account for 142 of the 173 records in scope, 82.1%, with the leader alone at 112 filings. The top 10 extends that to 153 records, 88.4% — meaning the next five names add comparatively little, and everything past that sits in a long tail of narrow, single-purpose filings.
Momentum is recent and steep
Annual filings rose from 3 in 2021 to 18 in 2024, the last year with a reasonably complete count before the 18-month publication lag starts to understate totals. The 2023 peak of 60 records suggests filing volume, not just filer count, has been climbing.
AI is embedded in the optimization layer, not bolted on
A third of the 173 records claim AI-model computing (G06N) alongside the 74.0% base of G06Q business-process claims, and 16.2% reach into physical manipulators and robots (B25J). That combination — planning logic, learned models and physical execution claimed together — is where the newest filings concentrate.
Influence clusters on a handful of foundational filings
The most-cited record, on predictive model data stream prioritization, draws 338 citations — well ahead of the next tier. High citation counts here mark filings that later applicants had to design around or build on, not necessarily filings still active or most relevant today.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to logistics optimization patent landscape, with the prior art for and against each one.
Who is filing, and what is still open
The ranked leaders make up a 56-company list drawn entirely from the 173 records in scope — not a top-50 or top-100 cut, but the whole ranking the dataset returns. A handful of names hold most of the volume; the rest represent narrower bets on specific handling or routing problems.
One filer dominates the leaderboard
The top-ranked assignee holds 112 of the 173 records, meaning it alone accounts for a majority of everything in scope. That scale typically signals a platform strategy — filing broadly across the optimization stack rather than defending a single mechanism.
The drop-off after the leader is steep
Fifth place holds 4 records, and tenth place only 2 — a sharp fall from the leader's 112. That gap is where most of the ranked 56 companies sit: active but not consolidating share.
Recent-year activity has shifted away from earlier leaders
Several of the assignees that built early volume, including entities with -100% year-over-year change, show zero filings in the latest year captured. That does not necessarily mean exit — it is consistent with the publication lag thinning out the newest filing years across the board.
| Assignee | Recent year | YoY |
|---|---|---|
| Strong Force VCN Portfolio 2019, LLC | 0 | -100% |
| Manugistics | 0 | — |
| COOK DANIEL M | 0 | — |
| Janssen Biotech, Inc. | 0 | — |
| GURIN MICHAEL | 0 | -100% |
| Panduit Corp. | 0 | — |
| Strong Force IoT Portfolio 2016, LLC | 0 | -100% |
| Caterpillar Inc. | 0 | — |
Where to take this next
The dataset points to a field with a dominant filer, a steep 2021-2024 growth curve, and technology sub-areas that remain open to a well-drafted first claim.
Check freedom-to-operate against the leader's claim set
With 112 of 173 records held by one assignee, any new filing in this space should be checked against that portfolio's specific claim language before development budget is committed.
Run a freedom-to-operate check in EurekaTrack the 2024 growth cohort as it publishes forward
The jump from 3 to 18 annual filings between 2021 and 2024 marks where competitive attention moved; watching which assignees filed in that window flags who is setting the pace now.
Monitor filing activity in EurekaDraft into the identified white space
Sub-areas such as load-carrier fleet coordination and inventory-location dynamic reassignment show record volume without a concentrated leader, which is where a first claim has the most room.
Explore white space in EurekaCommon questions on the logistics optimization patent landscape
One assignee leads with 112 of the 173 records in scope, well ahead of the rest of the field; fifth place holds only 4 records and tenth place 2. The top 5 assignees together account for 82.1% of all records, and the top 10 for 88.4%, so the ranking is heavily front-loaded before a long tail of 56 total ranked companies with narrow filing counts. That gap between the leader and everyone else is the single clearest signal in this dataset.
Filings rose from 3 in 2021 to 18 in 2024, a +500% increase over that three-year span, with a peak year of 60 records in 2023. 2024 is the most recent year the dataset treats as reasonably complete, because publication typically lags filing by about 18 months. Figures for 2025 and 2026 will keep rising as later applications publish, so they should not be read as a slowdown.
G06Q, covering business, commerce and administrative data processing, appears in 74.0% of the 173 records, making optimization and planning logic the dominant claim type. AI-model computing (G06N) follows at 33.5% and general digital data processing (G06F) at 30.1%, with physical handling technologies like manipulators and robots (B25J, 16.2%) and non-electric control (G05D, 13.3%) representing the hardware side. Because a single record can carry several IPC classes, these shares add up to more than 100% of the record base.
The clearest openings sit in sub-areas with meaningful record counts but no single dominant claimant, such as protective packaging sensing, inventory-location dynamic reassignment and load-carrier fleet coordination. These areas show filing activity without the kind of concentration seen at the top of the assignee ranking, which suggests claim language there is less contested. A first filing that combines one of these physical-handling concepts with the AI-model layer that already appears in a third of the dataset is likely to face less crowded prior art.
US20240112110A1, filed by OII, INC. and published 2024-04-04, covers ingesting raw client enterprise data, profiling it, and applying a set of mapping AI models — one per input feature of an optimization model — with a human-reviewable live preview for correcting mappings. It is relevant to anyone building supply-chain optimization systems that ingest tabular client data through an automated, AI-assisted mapping step. Teams building similar per-feature mapping-model architectures with human-in-the-loop correction should review its specific claim scope before proceeding.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.