AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Bennet Data, Technology Stack, and Enterprise Applications
ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle Retail Merchandising Cloud Service Retail Management ERP Services and Operations n/a 2021 2021
In 2021, Bennet implemented Oracle Retail Merchandising Cloud Service to centralize merchandising and pricing operations across its 63 supermarkets in northern Italy. The deployment was scoped to Retail Management functions and designed to support pricing, assortment, and inventory decisioning for category management and store-level merchandising. The implementation combines Oracle Retail Merchandising Cloud Service with existing Oracle Retail Merchandising Planning and Optimization modules, and was extended with Oracle Retail AI Foundation Cloud Service and Oracle Retail Assortment Planning Cloud Service to add AI-infused planning and pricing. Bennet used Oracle Retail Merchandising Planning and Optimization to accelerate price updates, cutting the time to adapt prices from days to hours, and then layered AI capabilities to analyze historical performance, market trends, customer habits, and supplier capabilities for more dynamic pricing and assortment decisions. Architecturally, the rollout integrates the merchandising cloud services with the Oracle Retail Data Store and upstream assortment and AI services to create a data-driven pricing loop, enabling item-level and category-level price adjustments. Operational coverage includes merchandising, pricing, inventory planning, and category management across all stores, with orchestration of assortment and supplier inputs to inform local market pricing strategies. Governance changes focused on embedding the Oracle Retail Merchandising Cloud Service into existing pricing workflows, shifting decision authority toward automated, data-driven pricing recommendations while maintaining central oversight of assortment policy. The deployment emphasized operational efficiency and more responsive inventory and pricing decisions, positioning Bennet to optimize price, placement, and promotion within its Retail Management architecture.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle Retail AI Foundation Cloud Service Intelligent Process Automation AI-Powered Application n/a 2023 2023
In 2023, Bennet implemented Oracle Retail AI Foundation Cloud Service on the Oracle retail cloud platform to enhance pricing and inventory decisions across its 63 supermarkets in northern Italy. Bennet implemented Oracle Retail AI Foundation Cloud Service, an Intelligent Process Automation solution, to support pricing and inventory management and to extend its existing Oracle retail footprint. The deployment expanded functional coverage by adding Oracle Retail AI Foundation Cloud Service alongside Oracle Retail Assortment Planning Cloud Service while retaining Oracle Retail Merchandising Planning and Optimization. Functional capabilities brought into scope include AI-driven analysis of historical performance, market trends, customer habits, competitive landscape signals, supplier capabilities, dynamic pricing on items and categories, and assortment optimization workflows. Architecturally the initiative is hosted on the Oracle retail cloud platform and leverages the Oracle Retail Data Store for unified retail data and model inputs. Operational coverage spans merchandising, pricing, assortment planning, and inventory management across all stores in the Bennet network, with senior leadership including the CEO and a named senior project manager cited as governance sponsors. Governance emphasized chainwide rollout and operational process alignment to accelerate decision cadence, building on prior use of Oracle Retail Merchandising Planning and Optimization which reduced price adaptation time from days to hours. The implementation positions Oracle Retail AI Foundation Cloud Service to enable more granular real-time pricing decisions and tighter correlation of product selection, pricing, promotion, and placement to customer expectations.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Cisco Systems Legacy Cisco Webex Meetings Audio Video and Web Conferencing Collaboration n/a 2018 2018
Collaboration Collaboration 2022 2022
Collaboration Collaboration 2017 2017
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Asset Management Content Management 2020 2020
eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
eCommerce eCommerce 2020 2020
Personalization and Product Recommendations eCommerce 2022 2022
SCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Inventory Management SCM 2023 2023
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Advertising Platform CRM 2020 2020
Marketing Analytics CRM 2020 2020
Marketing Analytics CRM 2022 2022
Marketing Analytics CRM 2021 2021
Partner Relationship Management CRM 2020 2020
Sales Automation, CRM, Sales Engagement CRM 2021 2021
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2021 2021
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Governance, Risk and Compliance TRM 2021 2021
Governance, Risk and Compliance TRM 2021 2021
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Cloud Storage IaaS 2015 2015
Content Delivery Network IaaS 2022 2022
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2018 2018
IT Decision Makers and Key Stakeholders at Bennet
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Bennet Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Bennet Technographics

Bennet is a Retail organization based in Italy, with around 8000 employees and annual revenues of $1.91 billion.

Bennet operates a diverse technology stack with applications such as Oracle Retail Merchandising Cloud Service, Oracle Retail AI Foundation Cloud Service and Cisco Webex Meetings, covering areas like Retail Management, Intelligent Process Automation and Audio Video and Web Conferencing.

Bennet has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Oracle and Cisco Systems.

Bennet recently adopted applications including Oracle Retail AI Foundation Cloud Service in 2023, Oracle Retail Assortment Planning Cloud Service in 2023 and Slack Connect in 2022, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Bennet’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Bennet’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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