6:24-cv-00123
Patent Armory Inc v. Texas De Brazil Corp
I. Executive Summary and Procedural Information
- Parties & Counsel:
- Plaintiff: Patent Armory Inc. (Canada)
- Defendant: Texas de Brazil Corporation (Delaware)
- Plaintiff’s Counsel: Rabicoff Law LLC
- Case Identification: 6:24-cv-00123, W.D. Tex., 03/07/2024
- Venue Allegations: Plaintiff alleges venue is proper because Defendant has an established place of business in the Western District of Texas.
- Core Dispute: Plaintiff alleges that Defendant’s unidentified products infringe patents related to intelligent call routing and auction-based entity matching.
- Technical Context: The patents relate to optimizing the allocation of resources in communications systems, such as routing incoming customer calls to the most suitable agent in a call center, a technology field focused on improving operational efficiency and customer satisfaction.
- Key Procedural History: No significant procedural history is mentioned in the complaint.
Case Timeline
| Date | Event |
|---|---|
| 2002-03-07 | U.S. Patent No. 7,023,979 Priority Date |
| 2003-03-07 | U.S. Patent No. 9,456,086 Priority Date |
| 2006-04-04 | U.S. Patent No. 7,023,979 Issues |
| 2016-09-27 | U.S. Patent No. 9,456,086 Issues |
| 2024-03-07 | Complaint Filed |
II. Technology and Patent(s)-in-Suit Analysis
U.S. Patent No. 7,023,979 - "Telephony control system with intelligent call routing"
The Invention Explained
- Problem Addressed: The patent’s background section describes inefficiencies in traditional call centers, such as routing calls on a simple first-come-first-served basis, which fails to account for agent skill levels and can lead to problems like under-skilled or over-skilled agents handling calls, reducing overall throughput and customer satisfaction ( ’979 Patent, col. 4:26-56).
- The Patented Solution: The invention is a communications management system that intelligently routes calls by receiving a "communications classification" for an incoming call, accessing a database of agent skill scores and skill weights, and using a processor to compute an "optimum agent selection" to handle the call ('979 Patent, Abstract; Fig. 1). This skill-based routing is intended to create a more efficient match between a caller’s needs and an agent’s capabilities (’979 Patent, col. 3:61-67).
- Technical Importance: This approach represents a shift from simple queuing to dynamic, data-driven resource allocation in call centers, aiming to optimize performance based on specific agent and call characteristics rather than just availability (’979 Patent, col. 3:61-col. 4:4).
Key Claims at a Glance
- The complaint asserts infringement of at least one independent claim (Compl. ¶12; Compl. ¶14). Independent claim 1 is excerpted below as representative.
- Essential elements of independent claim 1 include:
- a communications management system comprising an input for receiving a communications classification;
- a database of skill weights with respect to the communications classification;
- a database of agent skill scores; and
- a processor, for computing, with respect to the received communication classification, an optimum agent selection, the processor directly controlling a routing of the information representing the received call.
- The complaint does not explicitly reserve the right to assert dependent claims.
U.S. Patent No. 9,456,086 - "Method and system for matching entities in an auction"
The Invention Explained
- Problem Addressed: The patent addresses the same call center inefficiencies as the ’979 Patent, including the problems of static agent groupings and suboptimal call routing (’086 Patent, col. 3:24-col. 4:67).
- The Patented Solution: The invention describes a method for matching a "first entity" (e.g., a caller) with a "second entity" (e.g., an agent) by performing an "automated optimization with respect to an economic surplus" ('086 Patent, Abstract). This is framed as an "auction" where inferential targeting parameters for the first entity are matched against characteristic parameters of the second entities to determine an optimal pairing, considering not just the best match but also the "opportunity cost" of making that agent unavailable for other potential matches ('086 Patent, Abstract; col. 45:53-67).
- Technical Importance: This technology generalizes skill-based routing into a broader economic optimization framework, suggesting that resource allocation can be treated as a real-time auction to maximize overall system value or "surplus" rather than just finding a single best fit for one interaction ('086 Patent, col. 45:53-67).
Key Claims at a Glance
- The complaint asserts infringement of at least one independent claim (Compl. ¶18; Compl. ¶23). Independent claim 1 is excerpted below as representative.
- Essential elements of independent claim 1 include:
- storing in a memory a plurality of multivalued scalar data representing inferential targeting parameters for the first subset;
- storing in the memory a plurality of multivalued scalar data of each of the plurality of second entities, representing respective characteristic parameters;
- performing, using an automated processor, an optimization with respect to at least an economic surplus of a respective mutually exclusive match... and an opportunity cost of the unavailability of the second subset for matching with an alternate subset; and
- outputting a signal in dependence on the optimization.
- The complaint does not explicitly reserve the right to assert dependent claims.
III. The Accused Instrumentality
Product Identification
The complaint does not identify the accused products or services by name (Compl. ¶12; Compl. ¶18). It refers generally to "Defendant products identified in the charts" attached as Exhibits 3 and 4, but these exhibits were not filed with the complaint (Compl. ¶14; Compl. ¶23).
Functionality and Market Context
The complaint does not provide sufficient detail for analysis of the functionality or market context of the accused instrumentalities. No probative visual evidence provided in complaint.
IV. Analysis of Infringement Allegations
The complaint does not provide sufficient detail for analysis of infringement on a claim-element-by-claim-element basis. The complaint incorporates by reference claim charts from Exhibits 3 and 4, which were not provided with the publicly filed document (Compl. ¶15; Compl. ¶24).
The narrative infringement theory for the ’979 Patent alleges that Defendant directly infringes by making, using, selling, or importing the accused products, and by having its employees internally test and use them (Compl. ¶12-13). The narrative theory for the ’086 Patent alleges the same acts of direct infringement and further alleges induced infringement, stating that Defendant distributes "product literature and website materials inducing end users and others to use its products in the customary and intended manner that infringes" (Compl. ¶18-19; Compl. ¶21-22).
Identified Points of Contention
The lack of specifics in the complaint makes identifying points of contention speculative. However, based on the nature of the patents and the defendant, a central question may be one of applicability.
- Scope Questions: Do standard customer reservation or service systems, such as those used in the restaurant industry, perform the functions required by the claims? A dispute may arise over whether Defendant's systems perform an "optimization" to determine an "optimum agent selection" as claimed in the ’979 Patent, or conduct an "auction" that considers "economic surplus" and "opportunity cost" as claimed in the ’086 Patent.
- Technical Questions: What evidence does Plaintiff possess that Defendant’s systems operate in the specific manner required by the claims? For example, a question may arise as to whether Defendant's systems utilize "a database of skill weights" and "agent skill scores" to route communications, or if they rely on simpler logic such as availability or geographic location.
V. Key Claim Terms for Construction
Term: "optimum agent selection" (’979 Patent, Claim 1)
Context and Importance: This term is central to the ’979 Patent’s infringement theory. The definition of "optimum" will be critical. Defendant may argue its system selects an available agent, not necessarily an "optimum" one based on the multi-factor computation described in the patent. Practitioners may focus on this term because it appears to require a specific computational outcome, not just any agent selection process.
Intrinsic Evidence for Interpretation:
- Evidence for a Broader Interpretation: The claims do not specify the algorithm for determining the optimum selection, which could suggest that any process that selects an agent based on skills qualifies ( ’979 Patent, col. 20:25-32).
- Evidence for a Narrower Interpretation: The specification describes optimizing a "cost-utility function" and performing a "combinatorial analysis" to maximize value, suggesting "optimum" requires a specific, complex mathematical process rather than a simple best-available match (’979 Patent, Fig. 1; col. 63:45-64:4).
Term: "auction" (’086 Patent, Claim 1)
Context and Importance: The applicability of the ’086 Patent likely hinges on whether Defendant’s systems can be characterized as performing an "auction." Defendant, a restaurant chain, may argue that its customer service or reservation systems do not conduct anything recognizable as an auction. Plaintiff may argue for a broader, metaphorical interpretation where any competitive selection process for a limited resource is an auction.
Intrinsic Evidence for Interpretation:
- Evidence for a Broader Interpretation: The patent itself frames standard call-center routing as a type of auction, stating "it is also possible for agents to engage in an auction; that is, agents bid for a caller" ('086 Patent, col. 62:52-53). This could support a reading where any system that matches callers to agents based on competing factors is an "auction."
- Evidence for a Narrower Interpretation: The term "auction" in its ordinary sense implies bidding and price-setting mechanisms. The detailed description discusses concepts like "proxy bidding," "Dutch-type auctions," and "English-type (progressive) auctions," which could support a narrower definition requiring elements of traditional auction theory (’086 Patent, col. 39:6-63).
VI. Other Allegations
Indirect Infringement
The complaint alleges induced infringement of the ’086 Patent. This allegation is based on the claim that Defendant distributes "product literature and website materials" that instruct end users on how to use the accused products in an infringing manner (Compl. ¶21).
Willful Infringement
The complaint does not use the term "willful." However, for the ’086 Patent, it alleges "Actual Knowledge of Infringement" arises from the service of the complaint itself (Compl. ¶20). It further alleges that Defendant "continues to make, use, test, sell, offer for sale, market, and/or import" the accused products despite this knowledge, which forms a basis for post-suit willfulness (Compl. ¶21).
VII. Analyst’s Conclusion: Key Questions for the Case
- Evidentiary Sufficiency: The primary immediate question is one of pleading sufficiency. Will the complaint’s general allegations, which rely entirely on incorporating unprovided exhibits by reference, survive a motion to dismiss, or will the court require Plaintiff to provide specific factual allegations identifying the accused products and detailing how they infringe?
- Definitional Scope: A core substantive issue will be one of conceptual translation: can the patent terms "optimum agent selection" and "auction," which are described in the context of complex, algorithm-driven call centers, be construed to cover the functionality of a restaurant chain’s potentially simpler customer reservation or service systems?
- Indirect Infringement Proof: For the ’086 Patent, a key question will be one of intent. Can Plaintiff show that Defendant, by providing user materials for its systems, possessed the specific intent to encourage its employees or customers to perform the patented method, particularly when the system's operation as an "auction" may not be apparent to a user?