RetSci
1349 W Peachtree St NE,
Atlanta, 30309, GA,
United States
Atlanta, 30309, GA,
United States
n/a
Professional Services
RetSci
List of Software Implementations where RetSci is Reseller or System Integrator
RetSci, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. RetSci collaboration with software players such as Oracle, M-Files and RELEX Solutions empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
RetSci is a Reseller or SI for the following software solutions:
| Reseller and SI | Vendor | Application | Category | Market |
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| RetSci | RELEX Solutions | RELEX Demand Planning | Demand Forecasting and Planning | SCM |
| RetSci | RELEX Solutions | RELEX Automatic Replenishment and Allocation | Allocation and Replenishment | SCM |
| RetSci | M-Files | M-Files | Document Management | Content Management |
| RetSci | Oracle | Oracle Retail Merchandising Analytics | Analytics and BI | Analytics and BI |
List of Software Implementations where RetSci is a Reseller or SI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
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Hibbett Sports | Retail | 11000 | $1.7B | United States | Oracle | Oracle Retail Merchandising Analytics | Analytics and BI | 2023 |
In 2023 Hibbett Sports implemented Oracle Retail Merchandising Analytics within a broader Oracle Retail cloud adoption, deploying the solution in the Analytics and BI category to centralize merchandising intelligence and planning workflows. RetSci guided the selection and implementation, aligning the analytics deployment with existing Oracle Retail planning services to create a unified merchandising analytics layer.
The implementation encompassed Oracle Retail Assortment Planning and Oracle Retail Merchandise Financial Planning alongside Xstore and Store Inventory Operations Cloud, with Oracle Retail Merchandising Analytics configured to consolidate assortment, merchandise financial planning, and reporting workflows. Configuration emphasized standardized assortment analysis, merchandise financial planning visibility, and automated reporting to reduce manual aggregation across planning and merchandising teams.
Integrations were implemented between Oracle Retail Merchandising Analytics and Xstore plus Store Inventory Operations Cloud to surface in-store inventory and sell-through signals into planning and analytics. The deployment was cloud oriented and scoped across Hibbett Sports stores and corporate merchandising and planning functions in the United States, enabling closer alignment between store inventory operations and centralized planning.
Governance changes included a centralized planning cadence and automated reporting handoffs to merchandising and store operations, with RetSci supporting rollout sequencing and configuration governance. Hibbett reported cutting monthly planning reporting time from hours to minutes and improving sell-through, outcomes directly associated with the Oracle Retail Merchandising Analytics driven consolidation of planning and store inventory visibility.
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METTEN Stein Design | Manufacturing | 150 | $28M | Germany | M-Files | M-Files | Document Management | 2025 |
In 2025, METTEN Stein Design implemented M-Files Document Management to transform invoice processing and commercial document handling. The M-Files deployment targeted accounts payable workflows and aimed to replace manual invoice handling with a centralized, searchable document store accessible across the organization.
The implementation configured M-Files with automated data capture for incoming invoices and provided both the M-Files desktop client and a web client option for Mac users, enabling digitalization of paper processes and electronic document lifecycle management. Configuration focused on invoice classification, metadata-driven access, and task-oriented workflows consistent with Document Management functional patterns.
M-Files was integrated with the companys existing ERP system to automate posting and reduce manual entry, and employees across commercial and accounting functions received access to commercial documents through the desktop and web clients. The operational scope covered invoice intake, verification, and posting steps in the accounts payable process, with deployment sized for a 150-employee manufacturing organization.
Implementation partners RetSci and DMSFACTORY supported the rollout, with continuous communication and on-the-fly adjustments during the live installation, which ran smoothly and increased employee acceptance. Reported outcomes included a reduction in invoice processing time from up to seven days to approximately one day, improved accuracy through automated data capture and ERP integration, and substantial annual cost savings from digitalized document handling.
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Sun Auto Tire and Service | Automotive | 4500 | $500M | United States | RELEX Solutions | RELEX Demand Planning | Demand Forecasting and Planning | 2025 |
In 2025, Sun Auto Tire and Service selected RELEX Demand Planning to automate supply chain forecasting and replenishment across its store and distribution footprint. The deployment uses RELEX Demand Planning, categorized as Demand Forecasting and Planning, to introduce AI driven demand forecasting and replenishment workflows for a network of over 520 locations and 19 distribution centers spanning 24 states.
The implementation concentrates on core RELEX capabilities including demand forecasting, automated replenishment, purchase optimization, and assortment aware inventory planning. RELEX Demand Planning will be configured to handle limited demand history for thousands of SKUs common in the aftermarket auto parts and tire business, and to improve inventory quality and product availability through unified, configurable planning models and automation.
RetSci will support the implementation as the designated systems partner, executing configuration and rollout activities across store and DC planning processes. Operational coverage explicitly spans all stores and distribution centers, with the platform intended to enable data driven purchasing decisions and scalable forecasting across Sun Auto Tire and Service brands such as Sun Devil Auto, Plaza Tire Service, and Greulich’s Automotive.
Governance and process changes emphasize centralized forecasting and automated replenishment rules to align purchasing with financial objectives, while providing visibility for buying decisions. Expected outcomes stated by the parties include improved product availability, reduced excess inventory, and greater visibility to inform purchasing, with RELEX positioned as the configurable, unified Demand Forecasting and Planning platform to scale planning precision and automation.
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Automotive | 4500 | $500M | United States | RELEX Solutions | RELEX Automatic Replenishment and Allocation | Allocation and Replenishment | 2025 |
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IT Decision Makers and Key Stakeholders at RetSci
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Buyer Intent: Companies Evaluating RetSci Services
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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RetSci System Integrator / VAR Profile
RetSci is a system integrator and technology consulting firm headquartered in Atlanta, United States, with approximately 56 employees and annual revenues of $5M.
RetSci implements and supports enterprise applications across markets such as Analytics and BI, Content Management and SCM.
APPS RUN THE WORLD tracks 4 verified RetSci software implementations across industries and regions, including: Hibbett Sports where RetSci implemented Oracle Retail Merchandising Analytics, METTEN Stein Design where RetSci implemented M-Files, and Sun Auto Tire and Service where RetSci implemented RELEX Demand Planning.
RetSci has a strategic VAR/SI partnership with Oracle, M-Files and RELEX Solutions, backed by verified deployments.
Independent Software Vendors (ISVs) can boost their ecosystem by identifying existing RetSci partnerships, building strong channel relationships, and forging strategic implementation alliances to expand customer reach and accelerate adoption.
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