BerkeleyIEOR v. W.W. Grainger Inc.

CourtDistrict Court, N.D. Illinois
DecidedMarch 7, 2019
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. 2019).

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., ) W.W. GRAINGER, INC., DHL ) EXPRESS (USA), INC., DANZAS ) CORPORATION, d/b/a DHL GLOBAL ) FORWARDING, AND AIR EXPRESS ) INTERNATIONAL USA, INC., ) d/b/a DHL GLOBAL FORWARING ) ) Defendants. )

MEMORANDUM OPINION CHARLES P. KOCORAS, District Judge: Before the Court are three motions to dismiss portions of Plaintiff Berkeley*IEOR’s (“Berkeley”) Second Amended Complaint (“SAC”), brought by (1) Defendant W.W. Grainger, Inc. (“Grainger”); (2) DHL Express (USA) (“DHL Express”); (3) Air Express International USA, Inc., (“Air Express”), and DHL Global Forwarding (“DHL Global”) (collectively, “the non-Teradata Defendants”), and Defendant Teradata Operations, Inc., (“Teradata”) (collectively, the “Defendants”) pursuant to Federal Rule of Civil Procedure 12(b)(6). For the following reasons, the Court grants in part and denies in part all three motions. Also before the Court are three motions to sever and stay portions of Berkeley’s Second Amended Complaint. For the following reasons, the Court grants all three

motions. BACKGROUND The Court accepts as true the following facts from Berkeley’s SAC. All reasonable inferences are drawn in Berkeley’s favor. Tamayo v. Blagojevich, 526 F.3d

1074, 1081 (7th Cir. 2008). A. The Relevant Parties Plaintiff Berkeley is a Nevada corporation that designs and develops large scale decision support systems. Richard “Tad” Lepman (“Lepman”) is Berkeley’s president

and 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 provides database- management systems for data analytics. Teradata is a software and solutions company

that offers a broad portfolio of data-analytical products and services to customers throughout various industries. These industries include financial services, retail, travel and transportation, communications, media, and entertainment. Defendant Grainger is headquartered in Chicago and is a leading supplier of

industrial products. These products include motors, lighting, fasteners, plumbing, tools, and safety supplies. Grainger serves over three million customers through a network of branches, online channels, and distribution channels.

Defendant DHL Express is a leading air express and logistics company that provides an international service portfolio consisting of letter, parcel dispatch, and express delivery. DHL Express has been one of Teradata’s customers since 2016. DHL Express’ parent company is Deutsche Post AG and provides its services through this

division. Defendants Danzas and Air Express, while distinct entities, are both affiliated with DHL Express and are significant customers for Teradata. Danzas and Air Express both provide freight forwarding and packaging insurance. They also organize

shipments worldwide. Danzas and Air Express’ parent company is Deutsche Post AG and provides its services through this division. B. The Asserted Patents Lepman was the inventor of the patents-in-suit owned by Berkeley. He developed the method to provide a “granular,” “object level” calculation of a business’ profit. The patents-in-suit and alleged infringed claims are 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 comprise a structured query language (SOL) 3. The process of claim 1, wherein the preparing step further includes the step of calculating opportunity values of funds used or suppled 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.

The ‘137 Patent, entitled “Process for Determining Object Level Profitability,” claims in relevant part: 1. A method for transforming a computerized profit database, comprising the steps of: providing a computerized profit database having profit information; providing a relational database management system operable in association with the computerized profit database; preparing the profit information to be accessed electronically through the relational database management system, including the step of calculating opportunity values for funds used or supplied by each object being measured; establishing, in the relational database, rules for processing the prepared information, including the steps of providing information necessary to select objects and performing a profit calculus; 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, where the relational database comprises a structured query language (SQL) The ‘316 Patent, entitled “Process for Determining Object Level Profitability,” claims in relevant part: 1. A process for determining object level profitability in a relational database management system, comprising the computer implemented steps of: providing a computerized profit database having profit information; providing a relational management system operable in association with the computerized profit database; preparing the profit information to be accessed electronically through the relational database management system, including the step of calculating opportunity values for funds used or supplied by each object being measured; establishing, in the relational database, rules for processing the prepared information, including the steps of providing information necessary to select objects and performing a profit calculus; 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; and combining the at least one marginal value of profit to create a measure of object level profitability. 2. The process of Claim 1, wherein the relational database comprises a structured query language (SQL) C. The Underlying Action In the 1990s, Berkeley was providing consulting services to Defendant

Teradata’s predecessor, NCR Corporation (“NCR”).

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