AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Oracle Retail Demand Forecasting Cloud Service Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
J D Williams Retail 1870 $893M United Kingdom Oracle Oracle Retail Demand Forecasting Cloud Service Demand Forecasting and Planning 2016 n/a
In 2016, J D Williams implemented Oracle Retail Demand Forecasting Cloud Service, a Demand Forecasting and Planning application. The deployment was positioned to deliver next generation retail science to maximize forecast accuracy across the entire product lifecycle for the JD Williams business within N Brown Group Plc. The Oracle Retail Demand Forecasting Cloud Service implementation focused on centralized demand forecasting and planning workflows for merchandising, incorporating time phased forecasts and lifecycle forecasting to support assortment and replenishment decisions. The project included configuration of demand model frameworks and automated forecast generation, enabling merchandising teams to consume standardized baseline and promotional forecasts as part of regular planning cadences. Implementation work was executed in partnership with Oracle Retail Consulting Services, aligning the cloud forecast service with Oracle ERP Cloud data flows to give finance teams faster access to demand signals and improve operational data consistency. Operational scope targeted merchandising and finance functions for the JD Williams brand within the United Kingdom, with the demand forecasts intended to feed downstream planning and inventory processes. Governance changes emphasized adoption of industry best practices and process automation to shift merchandising effort toward product and customer focus rather than manual forecasting tasks. The stated objectives included enhancing business efficiency and supporting profitable digital growth while delivering a platform that can scale with evolving retail requirements.
N Brown Retail 1700 $746M United Kingdom Oracle Oracle Retail Demand Forecasting Cloud Service Demand Forecasting and Planning 2020 n/a
In 2020, N Brown deployed Oracle Retail Demand Forecasting Cloud Service as a core forecasting capability. The implementation sat alongside adoption of Oracle Fusion Cloud ERP and was delivered using a complete remote delivery model. Oracle Retail Demand Forecasting Cloud Service was configured to apply data science-driven demand forecasting across assortments, supporting seasonality, promotions and out-of-stock scenarios. Functional capabilities implemented included statistical forecasting, demand sensing and inventory anticipation workflows consistent with Demand Forecasting and Planning deployments. Oracle Retail Consulting collaborated with N Brown to evaluate over 1 million items across the retailer's brand portfolio, including JD Williams, Simply Be, Jacamo, Home Essentials and Ambrose Wilson, to define optimal inventory management strategies. Forecast outputs were integrated into Oracle Fusion Cloud ERP to align forecasting with financials and replenishment planning. Operational coverage focused on merchandising, inventory planning and finance teams across the retailer's UK operations, with governance organized around a remote delivery rollout and cross-functional stakeholder coordination. Internal workflows were reoriented to use forecast-driven replenishment signals and to streamline business and support cost structures. Company statements cite decreased operational costs, increased inventory productivity, a better ability to anticipate customer demand and an improved customer experience as primary outcomes of the Oracle Retail Demand Forecasting Cloud Service deployment.
Showing 1 to 2 of 2 entries

Buyer Intent: Companies Evaluating Oracle Retail Demand Forecasting Cloud Service

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Oracle Retail Demand Forecasting Cloud Service. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Oracle Retail Demand Forecasting Cloud Service for Demand Forecasting and Planning include:

  1. Spire, a India based Professional Services organization with 170 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Oracle Retail Demand Forecasting Cloud Service Coverage

Oracle Retail Demand Forecasting Cloud Service is a Demand Forecasting and Planning solution from Oracle.

Companies worldwide use Oracle Retail Demand Forecasting Cloud Service, from small firms to large enterprises across 21+ industries.

Organizations such as J D Williams and N Brown are recorded users of Oracle Retail Demand Forecasting Cloud Service for Demand Forecasting and Planning.

Companies using Oracle Retail Demand Forecasting Cloud Service are most concentrated in Retail, with adoption spanning over 21 industries.

Companies using Oracle Retail Demand Forecasting Cloud Service are most concentrated in United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle Retail Demand Forecasting Cloud Service across Americas, EMEA, and APAC.

Companies using Oracle Retail Demand Forecasting Cloud Service range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 100%, and global enterprises with 10,000+ employees - 0%.

Customers of Oracle Retail Demand Forecasting Cloud Service include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Oracle Retail Demand Forecasting Cloud Service customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Demand Forecasting and Planning.