BerkeleyIEOR v. W.W. Grainger Inc.

CourtDistrict Court, N.D. Illinois
DecidedMarch 25, 2020
Docket1:17-cv-07472
StatusUnknown

This text of BerkeleyIEOR v. W.W. Grainger Inc. (BerkeleyIEOR v. W.W. Grainger Inc.) is published on Counsel Stack Legal Research, covering District Court, N.D. Illinois primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
BerkeleyIEOR v. W.W. Grainger Inc., (N.D. Ill. 2020).

Opinion

UNITED STATES DISTRICT COURT NORTHERN DISTRICT OF ILLINOIS EASTERN DIVISION

BERKELEY*IEOR d/b/a B*IEOR, ) ) Plaintiff, ) ) v. ) 17 C 7472 ) TERADATA OPERATIONS, INC., ) ) Defendant. )

MEMORANDUM OPINION

CHARLES P. KOCORAS, District Judge: Before the Court is Defendant Teradata Operations, Inc.’s (“Teradata”) motion to dismiss Plaintiff Berkeley*IEOR’s (“Berkeley”) Second Amended Complaint (“SAC”) pursuant to Federal Rule of Civil Procedure 12(b)(6). For the following reasons, the Court denies the motion to dismiss. BACKGROUND For purposes of this motion, the Court accepts as true the following facts from the complaint. Alam v. Miller Brewing Co., 709 F.3d 662, 665–66 (7th Cir. 2013). All reasonable inferences are drawn in Berkley’s favor. League of Women Voters of Chicago v. City of Chicago, 757 F.3d 722, 724 (7th Cir. 2014). A. The Relevant Parties Plaintiff Berkeley is a Nevada corporation that provides consulting services, specializing in the design and development of large-scale decision support solutions. Richard Lepman (“Lepman”) is Berkeley’s president and the named inventor for U.S. Patent Number 7,596,521 (the “‘521 Patent”), U.S. Patent Number 7,882,137 (the “‘137

Patent”), and U.S. Patent Number 8,612,316 (the “‘316 Patent”) (the “Asserted Patents”). Defendant Teradata is headquartered in Ohio and is a developer and retailer of enterprise-wide data-analytics software, services, and related data-warehousing

platform technology. Teradata offers its data-analytical products and services to customers throughout various industries, which include financial services, retail, travel, transportation, communications, media, and entertainment. Teradata was originally formed as a collaboration between researchers at the

California Institute of Technology and Citibank’s Advanced Technology Group. After fifteen years as a division within both NCR Corporation (“NCR”) and AT&T, Teradata re-emerged as an independent company in 2007. Berkeley makes claims against other parties, including Grainger, DHL Express, Danzas, and Air Express (collectively, the “non-Teradata Defendants”), but those

actions have been severed and stayed. B. The Asserted Patents Lepman was the inventor of the patents-in-suit owned by Berkeley. He developed a method that calculated profitability associated with the smallest common

component of profit measurement desired, namely the profit “object.” The inventions of the Asserted Patents provide management with a single version of the truth when evaluating multiple dimensions of profitability, such as product, account, customer, or item, which was not previously possible. Lepman assigned all rights, title, and interest

in the Asserted Patents to Berkeley’s predecessor, and thus, Berkeley is presently the owner and assignee of the Asserted Patents. For purposes of this motion, Berkeley is willing to treat—but does not concede —claim 1 of the ‘521 Patent as a representative claim for simplicity’s sake. As to the

‘521 Patent, claim 1 is the only independent claim. Claim 1 in the ‘137 Patent and the ‘316 Patent are nearly identical to claim 1 of the ‘521 Patent and are also the only independent claims in their respective patents. The ‘521 Patent states as follows: The ‘521 Patent, entitled “Process for Determining Object Level Profitability,” is “a process for determining object level profitability,” and claims in relevant part:

1. A process for determining object level profitability in a computer, comprising the steps of:

providing a relational database management system operable in association with a computer;

preparing information to be accessed electronically through the relational database management system;

establishing, in the relational database, rules for processing the prepared information;

using the relational database management system to independently calculate at least one marginal value of profit for each object being measured using the established rules as applied to a selected set of prepared information; using the relational database management system to calculate a fully absorbed profit adjustment value for each object being measured; and

combining the at least one marginal value of profit and the fully absorbed profit adjustment value to create a measure for object level profitability.

2. The process of claim 1, wherein the relational database comprises a structured query language (SQL).

3. The process of claim 1, wherein the preparing step further includes the step of calculating opportunity values of funds used or supplied by each object being measured.

4. The process of claim 1, wherein the establishing step includes the steps of providing the information necessary to select objects, and performing the correct profit calculus.

1:17-cv-7472, Dkt. #105 at 7.

Before the filing date of the Asserted Patents, prior attempts to calculate certain profitability-related measures for individual customer accounts on a limited scale, either manually or sometimes through traditional procedural-based computer software, faced limited success. Due to the technical limitations associated with relying primarily on traditional procedural-based software (if-then-else statements), such prior attempts did not have the flexibility or capability needed to perform the number of calculation permutations simultaneously and in a timely manner, which is required to achieve the functionality made possible by the Asserted Patents. The Asserted Patents allow for the independent and simultaneous processing of multiple profitability factors using a relational database management system (“RDBMS”). When compared to methods that rely on traditional procedural-based software, this method for processing profitability factors resulted in improved

performance. The Asserted Patents disclose and claim not only the idea of determining object level profitability, but also recite limitations directed at employing allegedly unconventional technological solutions to these technological problems encountered by the prior art.

The claim is that the Asserted Patents employ relational database management techniques, independent simultaneous calculation techniques, and combinations of rules and data in a mathematical set theoretic framework, in an unconventional manner that improves upon the capabilities, performance, and scalability of traditional

procedural-based computer software. Berkeley alleges that these features enable it to achieve a technologically scalable solution that can measure profit at a speed, resolution, and precision previously not possible in prior computerized financial performance measurement processes. Against this backdrop, the specification describes, generally, the goals of the

invention: To gain this new level of profit resolution this invention is designed to use micro profit measurement rules applied at a granular level consistent with standard accounting practice using a combination of actuarial science and mathematical set theory. The invention is designed to utilize massively parallel computing operations using relational database management techniques enabling profit measurement at a level not available today in a large individual customer scale business. This invention does this through a consistent application of measures to a class of business entities which represent the smallest common component of profit measurement desired—the Profit Object.

C. The Underlying Action In the 1990s, Berkeley provided consulting services to Defendant Teradata’s predecessor, NCR.

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