BerkeleyIEOR v. W.W. Grainger Inc.

CourtDistrict Court, N.D. Illinois
DecidedMarch 7, 2024
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. 2024).

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., et al. ) ) Defendants. )

MEMORANDUM OPINION

CHARLES P. KOCORAS, District Judge:

Before the Court is Plaintiff Berkeley*IEOR’s (“Berkeley”) motion for summary judgment and Defendant Teradata Operations, Inc.’s (“Teradata”) motion for summary judgment. For the following reasons, Berkeley’s motion is granted and Teradata’s motion is granted-in-part and denied-in part. BACKGROUND In this patent infringement action, Berkeley asserts three patents that claim methods for calculating object level profitability—U.S. Patent Numbers 7,596,521 (“’521 Patent”), 7,882,137 (“’137 Patent”), and 8,612,316 (“’316 Patent”) (together, “Asserted Patents”).1 On October 16, 2017, Berkeley initiated this suit against Teradata and its customers, Defendants W.W. Grainger, Inc. (“Grainger”), DHL Express (USA),

1 Berkeley asserts claims 1–3 of the ’521 Patent, claims 1 and 2 of the ’137 Patent, and claims 1 and 2 of the ’316 Patent (“Asserted Claims’). Claim 4 was found invalid as indefinite. Dkt. # 279. Inc., Danzas Corporation d/b/a DHL Global Forwarding, and Air Express International USA, Inc. d/b/a DHL Global Forwarding (“Customer Defendants”). Dkt. # 1. Berkeley

alleges in the second amended complaint that, through their use of the Teradata Value Analyzer (“TVA”) technology, the Customer Defendants directly infringed the Asserted Patents under 35 U.S.C. §§ 271(a) and (g) (Counts I–IV) and Teradata induced infringement of the Asserted Patents under 35 U.S.C. § 271(b) (Count V). Dkt. # 41.

The Court severed and stayed Counts I–IV against the Customer Defendants on March 7, 2019. Dkt. # 80. Berkeley filed its motion for summary judgment on July 26, 2022, seeking judgment in its favor that the Asserted Patents are directed to patent-eligible subject

matter under 35 U.S.C. § 101. Dkt. # 294. This was before expert discovery began; the Magistrate Judge did not set an expert discovery schedule until September 23, 2022. Dkt. # 318. Expert discovery closed on February 23, 2023. See Dkt. # 335. Teradata filed its motion for summary judgment on March 23, 2023, seeking judgment in its favor on indirect infringement and that the Asserted Patents are invalid under Section

101 as directed to ineligible subject matter.2 Dkt. # 351. The Asserted Patents The parties agree that claim 1 of the ’521 Patent is representative for purposes of these motions. It reads as follows:

1. A process for determining object level profitability in a computer,

2 Berkeley filed a motion to exclude the opinions of Teradata’s expert, Bruce Weber, which we recently denied. Dkt. # 405. comprising the steps of:

providing a relational database management system (“RDBMS”) operable in association with a computer;

preparing information to be accessed electronically through the [RDBMS];

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

using the [RDBMS] to independently calculate at least one marginal value of profit for each object being measured using established rules as applied to a selected set of prepared information;

using the [RDBMS] 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.

Dkt. # 1-1, at 30:53–31:3.

According to the specification of the ’521 Patent, “[m]any businesses today are struggling to accurately measure profit contribution at a level necessary to accurately measure profit contribution of individual customer interactions.” Dkt. # 1-1, at 1:36– 39. “Prior approaches to management’s desire for an accurate measure of individual decisions (incremental or marginal) profit impact have been solved by automating the accounting process for implementing accounting methods.” Id. at 3:39–42. But these prior art methods lacked an “adequate level of detail to measure an individual or incremental decision’s impact on profit.” Id. at 3:61–63. The claimed invention aimed to “gain this new level of profit resolution” by using “micro profit measurement rules applied at a granular level consistent with standard accounting practice using a combination of actuarial science and mathematical set theory.” Id. at 3:63–65. Furthermore: 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.

Id. at 3:65–4:7. The specification explains that the Asserted Patents’ invention involves a detail profit metric (“DPM”) designed to be a computer database application, i.e., software, for profitability measurement. The DPM system “is designed for Rules to be applied to any object without loss of integrity of output”: This design feature allows the user to incrementally migrate objects to increased measure precision as justified. This valuable piecewise increase in functionality is possible due to DPM’s combination of rules and data in a mathematical set theoretic framework. This approach allows for a [RDBMS] implementation. It is nearly impossible [to] develop and maintain procedural based software with as much flexibility and with the capability to simultaneously support the number of calculation permutations required by DPM.

Id. at 10:35–46. Use of the patented method “is especially suited for massively parallel computing technology where linear scalable capital investment in processing technology is possible vis-à-vis object and event count and rule complexity.” Id. at 8:37–41. The claimed method takes “advantage of technological advances in massively parallel computing capability.” Id. at 2:3–7. The prosecution history of U.S. Patent App. No. 09/545,628 (“’628 Application”), an application related to the Asserted Patents, states the invention was implemented “within a relational database, which has not been done

before and allows the information to be analyzed in hours instead of days for a major Bank using parallel calculation processes.” Dkt. # 297-9, at 413. Conversely, at least one prior art reference “teaches a sequential process[.]” Dkt. # 297-10, at 181. Evidence

In resolving a motion for summary judgment, the Court views the evidence in the light most favorable to the nonmovant. Matsushita Elec. Indus. Co. v. Zenith Radio Corp., 475 U.S. 574, 587 (1986). The following facts are taken from the record and are undisputed unless otherwise noted.3

Richard Lepman, the inventor of the Asserted Patents, submitted a declaration during prosecution stating that the rules of the prior art methods “do not lend themselves into RDBMS rules, since they are procedural in nature, i.e., use if-then-else stepwise iterative logic.” Dkt. # 297-6, at 5. He further stated that the “invention requires the use of an electric [RDBMS] having parallel operation and calculation capabilities,

which can be run using structured query language.

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