Apps Run The World Apps Purchases

Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	VAR/SI	Insight Source
Dinosol Supermercados S.L	Retail	1000	$300M	Spain	Oracle	Oracle Retail Advanced Inventory Planning	Advanced Planning and Scheduling	2012	n/a	In 2012, DinoSol Supermercados S.L implemented Oracle Retail Advanced Inventory Planning. The deployment completed a broader roll-out of Oracle Retail applications and targeted inventory optimization within the Advanced Planning and Scheduling category across DinoSol's four store formats in Spain and the Canary Islands. The implementation built on prior Oracle Retail projects, including Oracle Retail Replenishment Optimization and Oracle Retail Demand Forecasting, consolidating inventory planning, demand forecasting and replenishment planning capabilities. Oracle Retail Advanced Inventory Planning was configured to support synchronized supply chain planning and to align customer demand signals with replenishment parameters and inventory targets. Operational coverage included HyperDino and SuperSol hypermarkets and supermarkets, the Cash Diplo cash and carry network and HyperDino Express convenience stores, affecting supply chain planning, merchandising and finance functions. The solution was deployed as part of a suite level orchestration within the Oracle Retail ecosystem, maintaining data flow between forecasting, replenishment and inventory planning components. Governance focused on centralized inventory policy and cadence driven planning cycles to enable consistent service level objectives across all formats, with supply chain leadership driving rollout and operational adoption. As an explicit result of the Oracle Retail deployment, DinoSol reduced stock levels and realized savings of €21.8M Euros in 2011 and €25.2M Euros in the first quarter of 2012, outcomes that DinoSol reinvested into new stores and additional projects, and which DinoSol Director Supply Chain Jorge Delgado described as enabling a synchronized supply chain where customer demand drives supply.
Dinosol Supermercados S.L	Retail	1000	$300M	Spain	Oracle	Oracle Retail Demand Forecasting	Demand Forecasting and Planning	2012	n/a	In 2012 Dinosol Supermercados S.L implemented Oracle Retail Demand Forecasting as part of a broader suite to strengthen replenishment and inventory planning under the Demand Forecasting and Planning category. The deployment included Oracle Retail Demand Forecasting together with Oracle Retail Replenishment Optimization and Oracle Retail Advanced Inventory Planning to address forecasting accuracy and inventory optimization across its Spanish supermarket network. The implementation focused on standard demand forecasting and statistical model configuration, promotion-aware forecasting, multi-echelon inventory planning, and replenishment rule sets typical of Demand Forecasting and Planning solutions. Oracle Retail Demand Forecasting was used to generate baseline and adjusted forecasts, while the Advanced Inventory Planning and Replenishment Optimization components provided policy-driven reorder logic and target stocking calculations. Operational coverage targeted store replenishment and distribution center inventory workflows, aligning merchandising planning with store-level demand signals and centralized replenishment execution. The program was positioned to support supply chain and merchandising functions across Dinosol stores and distribution sites, with data flows designed to feed planning outputs into operational ordering cycles. Governance emphasized centralized planning processes and inventory policy adjustments to reduce working stock, with a defined three year objective to cut eight days of supply chain stock. The stated goals for the suite were to reduce stock to optimal levels and minimize inventory carrying costs while improving management of replenishment and forecasting processes.
	Retail	24000	$11.3B	United Kingdom	Oracle	Oracle Retail Store Inventory Management	Inventory Management	2017	n/a
	Retail	24000	$11.3B	United Kingdom	Oracle	Oracle Retail (ex Retek)	Retail Management	2017	n/a
	Retail	6000	$2.2B	United Arab Emirates	Oracle	Oracle Retail Sales Audit (ReSA)	Retail Management	2017	n/a
	Retail	6000	$2.2B	United Arab Emirates	Oracle	Oracle Retail Merchandising System	Retail Management	2017	n/a
	Retail	6000	$2.2B	United Arab Emirates	Oracle	Oracle Retail Price Management	Retail Management	2017	n/a
	Retail	6000	$2.2B	United Arab Emirates	Oracle	Oracle Commerce Cloud	eCommerce	2019	n/a
	Retail	6000	$2.2B	United Arab Emirates	Oracle	Oracle Warehouse Management Cloud	Warehouse Management	2017	n/a
	Retail	6000	$2.2B	United Arab Emirates	Oracle	Oracle Retail Store Inventory Management	Inventory Management	2017	n/a

Logo

Customer

Industry

Empl.

Revenue

Country

Vendor

Application

Category

When

VAR/SI

Insight

Insight Source

Dinosol Supermercados S.L

Retail

1000

$300M

Spain

Oracle

Oracle Retail Advanced Inventory Planning

Advanced Planning and Scheduling

2012

n/a

In 2012, DinoSol Supermercados S.L implemented Oracle Retail Advanced Inventory Planning. The deployment completed a broader roll-out of Oracle Retail applications and targeted inventory optimization within the Advanced Planning and Scheduling category across DinoSol's four store formats in Spain and the Canary Islands. The implementation built on prior Oracle Retail projects, including Oracle Retail Replenishment Optimization and Oracle Retail Demand Forecasting, consolidating inventory planning, demand forecasting and replenishment planning capabilities. Oracle Retail Advanced Inventory Planning was configured to support synchronized supply chain planning and to align customer demand signals with replenishment parameters and inventory targets. Operational coverage included HyperDino and SuperSol hypermarkets and supermarkets, the Cash Diplo cash and carry network and HyperDino Express convenience stores, affecting supply chain planning, merchandising and finance functions. The solution was deployed as part of a suite level orchestration within the Oracle Retail ecosystem, maintaining data flow between forecasting, replenishment and inventory planning components. Governance focused on centralized inventory policy and cadence driven planning cycles to enable consistent service level objectives across all formats, with supply chain leadership driving rollout and operational adoption. As an explicit result of the Oracle Retail deployment, DinoSol reduced stock levels and realized savings of €21.8M Euros in 2011 and €25.2M Euros in the first quarter of 2012, outcomes that DinoSol reinvested into new stores and additional projects, and which DinoSol Director Supply Chain Jorge Delgado described as enabling a synchronized supply chain where customer demand drives supply.

Dinosol Supermercados S.L

Retail

1000

$300M

Spain

Oracle

Oracle Retail Demand Forecasting

Demand Forecasting and Planning

2012

n/a

In 2012 Dinosol Supermercados S.L implemented Oracle Retail Demand Forecasting as part of a broader suite to strengthen replenishment and inventory planning under the Demand Forecasting and Planning category. The deployment included Oracle Retail Demand Forecasting together with Oracle Retail Replenishment Optimization and Oracle Retail Advanced Inventory Planning to address forecasting accuracy and inventory optimization across its Spanish supermarket network. The implementation focused on standard demand forecasting and statistical model configuration, promotion-aware forecasting, multi-echelon inventory planning, and replenishment rule sets typical of Demand Forecasting and Planning solutions. Oracle Retail Demand Forecasting was used to generate baseline and adjusted forecasts, while the Advanced Inventory Planning and Replenishment Optimization components provided policy-driven reorder logic and target stocking calculations. Operational coverage targeted store replenishment and distribution center inventory workflows, aligning merchandising planning with store-level demand signals and centralized replenishment execution. The program was positioned to support supply chain and merchandising functions across Dinosol stores and distribution sites, with data flows designed to feed planning outputs into operational ordering cycles. Governance emphasized centralized planning processes and inventory policy adjustments to reduce working stock, with a defined three year objective to cut eight days of supply chain stock. The stated goals for the suite were to reduce stock to optimal levels and minimize inventory carrying costs while improving management of replenishment and forecasting processes.