Obviousness

All claims (1-20) of US Patent 8862508 have been found unpatentable by the Patent Trial and Appeal Board (PTAB) in IPR2022-00055, specifically due to obviousness under 35 U.S.C. § 103(a) over combinations of prior art. The PTAB's Final Written Decision (FWD) states: "For the reasons set forth above, we conclude that Petitioner has shown by a preponderance of the evidence that claims 1-20 of the ’508 patent are unpatentable." This section will elaborate on why a person having ordinary skill in the art (PHOSITA) would have found the claimed invention obvious, using combinations of the prior art references highlighted in the "Prior art" section.

Obviousness Analysis under 35 U.S.C. § 103

A claimed invention is obvious if the differences between the claimed invention and the prior art are such that the subject matter as a whole would have been obvious at the time the invention was made to a person having ordinary skill in the art to which the subject matter pertains. This analysis considers the scope and content of the prior art, differences between the prior art and the claims, the level of ordinary skill in the art, and any secondary considerations of non-obviousness (which are not assessed here). The PTAB's decision on obviousness for all claims of US8862508 indicates that the prior art, in combination, rendered the invention unpatentable.

For the purpose of this analysis, we will focus on Claim 1, a representative independent method claim, and demonstrate how its elements would have been obvious in view of various combinations of the cited prior art. The reasoning for other claims, particularly the similar method Claim 7 and system Claim 13, would follow similar logic.

Combination of References: US 2003/0040959 A1 (Fei), US 7,039,600 B1 (Hunter et al.), US 6,334,110 B1 (Bender et al.), and US 2004/0010597 A1 (Kirschner)

This combination directly addresses the core concepts of unifying e-banking touch points, personalizing services, and delivering targeted marketing content in real-time based on user preferences and responses. These were among the references the PTAB considered in its obviousness findings.

Motivation for a PHOSITA to Combine these References:

By the priority date of US8862508 (November 14, 2005), the financial services industry was actively seeking ways to enhance customer engagement, optimize marketing efforts, and streamline operations across various electronic channels. A PHOSITA would have been motivated to combine the teachings of these references to achieve the following:

1. Improved Customer Experience and Retention: Providing personalized services and highly relevant marketing at every interaction point (as taught by Fei and Hunter et al.) would improve customer satisfaction and loyalty.
2. Increased Marketing Effectiveness: Moving beyond generic advertising to data-driven, targeted campaigns (as taught by Bender et al., Fei, and Hunter et al.) would lead to higher conversion rates for cross-selling and up-selling financial products.
3. Operational Efficiency and Control: Unifying disparate e-banking systems into a coherent, manageable environment (as suggested by Kirschner and implied by the distributed nature of e-banking systems in Fei and Hunter et al.) would reduce complexity and costs for financial institutions.
4. Leveraging Existing Technologies: Each of these references presented solutions to common problems in e-banking. A PHOSITA would naturally combine these solutions to create a more comprehensive and robust system for personalized, multi-channel banking, especially as internet and wireless technologies became more pervasive.

Detailed Element-by-Element Analysis of Claim 1:

Claim 1: A method for constructing a unified electronic banking environment, said method comprising the steps of:

• "providing at least one common multi-channel server coupled to more than one e-banking touch points and also coupled to at least one computer system configured with at least one control console, said more than one e-banking touch points and said at least one computer system being provided in locations remote from the other, and further wherein said more than one plurality of e-banking touch points are comprised of at least two different types of e-banking touch point devices, each of which comprise one or more of an automatic teller/transaction machine (ATM), a self service coin counter (SSCC), a kiosk, a digital signage display, an online accessible banking website, a personal digital assistant (PDA), a personal computer (PC), a laptop, a wireless device, or a combination of two or more thereof, and wherein at least one of said e-banking touch points is in communication with one or more financial institutions through said multi-channel server;"

  • Prior Art Teaching: Kirschner describes a "system and method for providing enhanced services in a multi-channel interactive distributed environment," directly teaching the concept of a multi-channel environment. Fei specifically teaches a "World Wide Web-enabled ATM" and mentions that a "system can differentiate customers using information stored in institution databases," implying networked access to a central server and databases. Hunter et al. teach an ATM sending customer identity to a "remote computer" (a server) that returns marketing messages, also establishing networked ATMs. The idea of various remote e-banking touch points like ATMs and kiosks (explicitly mentioned in WO2005078596A1 and US20060036501A1) connected to a central system (a "multi-channel server") was a known architectural approach by the priority date. The variety of touch points (ATM, PC, PDA, wireless device) was also individually known in the art for banking functions. US20020111157A1 describes a "wireless networked cash management system" indicating remote wireless device interaction.
  • Obviousness: A PHOSITA, aware of the need to manage various banking channels efficiently, would find it obvious to integrate different types of e-banking touch points (ATMs from Fei/Hunter, kiosks from WO2005078596A1, online banking from general knowledge) into a "multi-channel distributed environment" as taught by Kirschner, connecting them via a common server architecture.

• "receiving an actionable input from at least one e-banking touch point;"

  • Prior Art Teaching: Fei teaches a user conducting transactions at an ATM, which inherently involves actionable input (e.g., entering PIN, selecting transaction type). Hunter et al. also describe user interaction with an ATM for transactions and marketing messages. US6223983B1 discusses an "interactive point access financial and information system."
  • Obviousness: This is a fundamental operation of any interactive e-banking touch point, and thus obvious.

• "retrieving previously stored data associated with said actionable input, wherein said previously stored data is accessible to any one of said e-banking touch points, and said previously stored data comprises data from one or more financial institutions and one or more user-defined preferences;"

  • Prior Art Teaching: Bender et al. teach "capturing and analyzing customer transaction and interaction information over time" and classifying customers based on this data for targeted marketing. Fei explicitly describes using "information stored in institution databases" to "differentiate customers" and provide "personalized messages, services, and advertisements" and "quick transactions based on user-defined preferences." US8121914B1 describes an "automated banking machine customer profile method," directly teaching the use of customer profiles for personalized services. Hunter et al. involve the ATM sending "customer identity information to a remote computer" to retrieve "appropriate marketing messages."
  • Obviousness: A PHOSITA would find it obvious to retrieve stored customer data and preferences (from Bender et al. and US8121914B1) from a centralized database (implied by Fei and Hunter et al.'s networked systems) and make it accessible across all e-banking touch points for personalization, as explicitly taught by Fei regarding user-defined preferences at ATMs.

• "delivering said retrieved data to said at least one e-banking touch point transmitting said actionable input;"

  • Prior Art Teaching: Fei states the system can "deliver a more personalized user interface and show targeted advertising" to the ATM user. Hunter et al. describe the remote computer determining and "return[ing] appropriate marketing messages to the ATM."
  • Obviousness: Once personalized data is retrieved, sending it back to the initiating touch point to customize the user experience or transaction is a logical and obvious step in any interactive system, directly taught by Fei and Hunter et al.

• "storing transactional usage data associated with said at least one e-banking touch point transmitting said actionable input, wherein said stored transactional usage data is accessible by any one of said more than one e-banking touch points and said at least one computer system;"

  • Prior Art Teaching: Bender et al. teach "capturing and analyzing customer transaction and interaction information over time." Fei describes an ATM system that differentiates customers using "information stored in institution databases," which would include transactional usage data. US20020138432A1 ("System and method for reporting customer visits to a bank") teaches monitoring and reporting customer interactions, implying storage of such data.
  • Obviousness: The collection and storage of transactional usage data from e-banking touch points for analysis and future personalization was a known practice, as shown by Bender et al. and Fei. Making this data accessible across a unified system (as suggested by Kirschner) for consistent personalization is an obvious design choice.

• "monitoring via said server an active session in real-time for selection of targeted marketing content correlated to said user-defined preferences;"

  • Prior Art Teaching: Fei teaches "delivering personalized messages, services, and advertisements specifically targeted to the ATM user or their market segment" and "targeted advertising" based on customer differentiation. Hunter et al. describe a system where a remote computer "determines and returns appropriate marketing messages to the ATM during the financial transaction," implying real-time monitoring and selection. Bender et al. discuss using customer classifications for "targeted marketing and cross-selling."
  • Obviousness: A PHOSITA would find it obvious to monitor active sessions in real-time to dynamically select marketing content tailored to a user's known preferences or segment, given the teachings of targeted marketing in Fei and Hunter et al. at an ATM during a transaction.

• "subsequent to said monitoring, selecting in real-time said targeted marketing content correlated to said user-defined preferences;"

  • Prior Art Teaching: This step is intrinsically linked to the previous monitoring step and is explicitly taught by Hunter et al., where the remote computer "determines and returns appropriate marketing messages to the ATM during the financial transaction." Fei also mentions delivering "personalized messages" and "targeted advertising."
  • Obviousness: The real-time selection based on monitoring is a direct consequence and an obvious implementation detail of providing real-time targeted marketing.

• "transmitting in real-time said targeted marketing content during said active session to at least one of said e-banking touch points for acceptance, rejection, or no response by a user, wherein said response by said user is used during said active session to determine whether transmission of additional information related to said marketing content occurs during said active session."

  • Prior Art Teaching: Fei explicitly teaches "delivering personalized messages, services, and advertisements... through a World Wide Web-enabled ATM" and the "real-time aspect of responding to user input for further information." Hunter et al. teach providing "immediate feedback from ATM users concerning marketing messages." US20030065563A1 describes ATM-based cross-selling where a promotion is provided, and a subsequent survey is conducted to gather profile information, which is then used to send "targeted messages." While not strictly real-time within the same session for the full feedback loop in US20030065563A1, Fei and Hunter et al. clearly teach real-time response and dynamic delivery of further information.
  • Obviousness: Given the aim of effective marketing, a PHOSITA would find it obvious to present targeted content in real-time and use the user's immediate response (or lack thereof) to dynamically adjust or provide additional related information within the same active session, building on the real-time interaction teachings of Fei and Hunter et al.

Conclusion

Based on the detailed analysis above, the elements of Claim 1 of US Patent 8862508, relating to a unified electronic banking environment with personalized, real-time targeted marketing based on user preferences and responses, would have been obvious to a PHOSITA by the priority date of the patent. The motivation to combine the teachings of Fei, Hunter et al., Bender et al., and Kirschner would stem from the clear industry drive to enhance customer experience, improve marketing effectiveness, and achieve operational efficiencies in multi-channel e-banking. This analysis aligns with the PTAB's conclusion in IPR2022-00055 that all claims (1-20) of US8862508 were unpatentable due to obviousness.