Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Predict Hq Limited has 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This single matter is handled by 1 distinct examiner, ULLAH, ARIF, who is the busiest examiner with 1 pending action. The prosecution is confined to 1 distinct art unit, reflecting a focused interaction with the patent office for this specific technology.
Because the portfolio consists of only 1 pending office action, the workload is entirely concentrated under ULLAH, ARIF. This means the company's immediate patent outcomes in this technology area depend on the specific review and procedural preferences of this individual examiner. The involvement of only 1 distinct art unit further simplifies the administrative landscape for the applicant at this time.
Practitioners should focus their strategy on the historical allowance rates and office action patterns of ULLAH, ARIF, as this examiner holds total control over the current pending portfolio. The singular nature of the 1 distinct art unit involved suggests that the technology being patented is highly specialized. This focused prosecution environment allows for a direct and streamlined communication path to resolve the 1 pending office action.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 1 (100%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| ULLAH, ARIF | 1 | 48.1% | +36.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19193460 | SYSTEMS AND METHODS FOR PREDICTING SERVICE DEMAND BASED ON GEOGRAPHICALLY ASSOCIATED EVENTS | ULLAH, ARIF | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19193460 | SYSTEMS AND METHODS FOR PREDICTING SERVICE DEMAND BASED ON GEOGRAPHICALLY ASSOCIATED EVENTS | ULLAH, ARIF | — |
| Art Unit | Apps |
|---|---|
| 3625 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19193460 | SYSTEMS AND METHODS FOR PREDICTING SERVICE DEMAND BASED ON GEOGRAPHICALLY ASSOCIATED EVENTS | ULLAH, ARIF | 3625 | §101§112 | Non-Final OA | — | Pending | Apr 29, 2025 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialPredict Hq Limited has 1 pending office actions as of October 2026, spread across 1 art units and 1 examiners.
Arif Ullah has the most, with 1 of Predict Hq Limited's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
