Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18442466 | METHOD, COMPUTER PROGRAM PRODUCT, AND SYSTEM FOR TRAINING A MACHINE LEARNING MODEL TO GENERATE USER EMBEDDINGS AND RECIPE EMBEDDINGS IN A COMMON LATENT SPACE FOR RECOMMENDING ONE OR MORE RECIPES TO A USER | February 2024 | March 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18392918 | APPARATUS AND METHOD FOR BUILDING A SHOPPING LIST WITH A SENSOR UNIT | December 2023 | January 2025 | Abandon | 13 | 1 | 0 | No | No |
| 18389516 | SYSTEM AND METHOD FOR DETERMINING SHOPPING FACILITIES AVAILABLE FOR ORDER PICK UP | November 2023 | June 2025 | Allow | 19 | 2 | 0 | Yes | No |
| 18480076 | SYSTEM AND METHOD FOR INTEGRATED RETAIL AND ECOMMERCE SHOPPING PLATFORMS | October 2023 | November 2024 | Allow | 14 | 1 | 0 | No | No |
| 18202192 | SYSTEM AND METHOD FOR MULTI-TIERED QUERY FOR SPECIALTY PROPERTY RECOMMENDATIONS | May 2023 | January 2025 | Abandon | 20 | 3 | 0 | No | No |
| 18322138 | Automobile Telephone Processing System For a Vehicle | May 2023 | March 2025 | Abandon | 21 | 4 | 0 | No | No |
| 17839644 | Methods and System for Initiating a Virtual Try-On Application Running on a Computer System and Providing Interactive Augmented Reality (AR) Graphics | June 2022 | November 2024 | Allow | 29 | 1 | 0 | Yes | No |
| 17695643 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR FRICTIONLESS SHOPPING USING EMITTED LIGHT SIGNALS | March 2022 | April 2025 | Allow | 37 | 3 | 0 | Yes | No |
| 17588099 | REDUCING SAMPLE SELECTION BIAS IN A MACHINE LEARNING-BASED RECOMMENDER METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM | January 2022 | December 2024 | Allow | 34 | 2 | 0 | Yes | No |
| 17550950 | NON-TRANSITORY COMPUTER-READABLE MEDIUM, AND METHOD FOR CONTEXT-BASED CONTENT-SCORING FOR AN ONLINE CONCIERGE SYSTEM | December 2021 | February 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17543396 | SYSTEMS AND METHOD FOR GENERATING RECOMMENDATIONS BASED ON LOCATION-BASED, ITEM SIMILARITIES | December 2021 | December 2024 | Allow | 36 | 3 | 0 | Yes | No |
| 17531399 | METHOD AND SYSTEMS FOR RECOMMENDING PRODUCT BUNDLES | November 2021 | September 2024 | Allow | 34 | 2 | 0 | Yes | No |
| 17530183 | METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM FOR A BROWSER EXTENSION FOR PRODUCT QUALITY | November 2021 | April 2025 | Allow | 40 | 4 | 0 | Yes | No |
| 17607268 | COMMUNICATIONS SERVER APPARATUS, METHODS AND COMMUNICATIONS SYSTEMS FOR RECOMMENDING ONE OR MORE POINTS-OF-INTEREST FOR A TRANSPORT-RELATED SERVICE TO A USER | October 2021 | October 2024 | Abandon | 36 | 2 | 1 | Yes | No |
| 17452732 | SYNCHRONIZING ITEM RECOMMENDATIONS ACROSS APPLICATIONS USING MACHINE LEARNING | October 2021 | April 2025 | Abandon | 42 | 4 | 0 | Yes | No |
| 17500540 | FEATURE SENSOR EFFICIENCY OPTIMIZATION FOR RECOMMENDATION SYSTEM USING DATA ENVELOPMENT ANALYSIS | October 2021 | May 2025 | Abandon | 43 | 4 | 0 | No | No |
| 17488011 | METHOD, DEVICE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR PROVIDING AUGMENTED REALITY-BASED MAKEUP PRODUCT SETS IN A MESSAGING SYSTEM | September 2021 | January 2025 | Allow | 39 | 4 | 0 | No | No |
| 17483469 | SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR GENERATING RECOMMENDATIONS | September 2021 | October 2024 | Allow | 36 | 4 | 0 | Yes | No |
| 17474251 | Method and System For A Vendor Website GUI For Marketing Greeting Cards And Envelopes | September 2021 | June 2024 | Allow | 33 | 2 | 0 | Yes | No |
| 17471649 | COMMODITY RECOMMENDATION METHOD, SERVER, SHOPPING CART AND SHOPPING SYSTEM | September 2021 | June 2024 | Allow | 33 | 1 | 0 | No | No |
| 17336121 | ESSENTIAL ACCESSORY RECOMMENDATIONS | June 2021 | June 2025 | Abandon | 48 | 5 | 0 | Yes | No |
| 17302960 | PROVIDING ENTITY RECOMMENDATIONS FOR ITEMS | May 2021 | February 2025 | Abandon | 45 | 4 | 0 | Yes | No |
| 17163510 | SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING SIMILAR ITEMS USING SPECTRAL FILTERING | January 2021 | July 2024 | Allow | 41 | 4 | 0 | Yes | No |
| 17163380 | SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM, FOR DIVERSIFYING COMPLEMENTARY ITEM RECOMMENDATIONS BASED ON USER PREFERENCES | January 2021 | December 2024 | Allow | 46 | 5 | 0 | Yes | No |
| 17163378 | SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR GENERATING RECOMMENDATIONS | January 2021 | September 2024 | Allow | 43 | 8 | 0 | Yes | No |
| 17163216 | SYSTEM AND METHOD FOR DETERMINING A PERSONALIZED ITEM RECOMMENDATION STRATEGY FOR AN ANCHOR ITEM | January 2021 | April 2025 | Abandon | 51 | 4 | 0 | Yes | No |
| 16993468 | MANAGEMENT SERVER FOR AUTOMATIC ORDERING OF CONSUMABLE ITEMS | August 2020 | September 2024 | Allow | 49 | 2 | 1 | Yes | No |
| 16987031 | RETAIL STORE THAT ALSO SELLS INTERNET ITEMS | August 2020 | November 2022 | Abandon | 27 | 4 | 0 | No | Yes |
| 16806447 | Automated Product Localization Through Mobile Data Analysis | March 2020 | September 2024 | Allow | 54 | 4 | 0 | Yes | No |
| 16693136 | METHOD, NON-TRANSITORY MACHINE-READABLE MEDIUM, AND SYSTEM FOR IDENTIFYING COMPARABLE ENTITIES USING MACHINE LEARNING AND PROFILE GRAPHS | November 2019 | December 2024 | Allow | 60 | 6 | 0 | Yes | No |
| 16586001 | METHOD AND APPARATUS FOR PROVIDING RECOMMENDATION INFORMATION FOR ITEM | September 2019 | November 2024 | Abandon | 60 | 4 | 0 | Yes | Yes |
| 16329355 | A METHOD, PLATFORM, AND DEVICE FOR PERSONALIZED SHOPPING | February 2019 | June 2024 | Allow | 60 | 8 | 0 | Yes | No |
| 15368529 | Systems and Methods for Baselining using Multiple Baseline Methodologies | December 2016 | August 2019 | Allow | 33 | 1 | 0 | Yes | No |
| 15164832 | Planogram and Realogram Alignment | May 2016 | May 2019 | Allow | 36 | 1 | 0 | Yes | No |
| 15164825 | Method, System, and Computer Program Product for Planogram Generation | May 2016 | December 2019 | Allow | 42 | 2 | 0 | Yes | No |
| 15079731 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT PROVIDING EYE TRACKING BASED COGNITIVE FILTERING AND PRODUCT RECOMMENDATIONS | March 2016 | March 2020 | Allow | 48 | 3 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner PRESTON, ASHLEY DAWN.
With a 0.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 0.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner PRESTON, ASHLEY DAWN works in Art Unit 3688 and has examined 35 patent applications in our dataset. With an allowance rate of 68.6%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 38 months.
Examiner PRESTON, ASHLEY DAWN's allowance rate of 68.6% places them in the 23% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.
On average, applications examined by PRESTON, ASHLEY DAWN receive 3.26 office actions before reaching final disposition. This places the examiner in the 98% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by PRESTON, ASHLEY DAWN is 38 months. This places the examiner in the 12% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +40.3% benefit to allowance rate for applications examined by PRESTON, ASHLEY DAWN. This interview benefit is in the 89% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 17.6% of applications are subsequently allowed. This success rate is in the 9% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.
This examiner enters after-final amendments leading to allowance in 25.9% of cases where such amendments are filed. This entry rate is in the 27% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
This examiner withdraws rejections or reopens prosecution in 0.0% of appeals filed. This is in the 1% percentile among all examiners. Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 50.0% are granted (fully or in part). This grant rate is in the 62% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 36% percentile). This examiner makes examiner's amendments less often than average. You may need to make most claim amendments yourself.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 37% percentile). This examiner issues Quayle actions less often than average. Allowances may come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.