AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Laboratoire D'Appareillage Oculaire Tech Stack and Enterprise Applications

ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Amazon Web Services (AWS) Legacy Amazon Pay Payment Processing ERP Financial Management n/a 2022 2022
Payment Processing ERP Financial Management 2022 2022
Payment Processing ERP Financial Management 2022 2022
ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Shopify Legacy Shopify POS Point Of Sale ERP Services and Operations n/a 2023 2023
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
NLP Cloud Legacy NLP Cloud Platform Natural Language Processing AI-Powered Application n/a 2024 2024
In 2024 Laboratoire D'Appareillage Oculaire implemented the NLP Cloud Platform to automate incoming support ticket triage, leveraging the vendor's classification API as part of a Natural Language Processing initiative for customer support. The work targeted customer support and CRM workflows in France, with a focus on faster identification and handling of urgent and medical requests. The implementation used the NLP Cloud Platform classification endpoint to label and prioritize incoming tickets, with classification outputs pushed into the company's support ticketing and CRM workflow to drive initial routing and priority flags. Configuration centered on classification-driven triage logic rather than additional vendor modules, and the integration pattern relied on API calls from LAO's support system into NLP Cloud's classification endpoint as described in the vendor customer reference. Operational scope remained focused on customer support operations in France, where workflow rules were updated so automated labels feed into triage decisions and escalation paths. Laboratoire D'Appareillage Oculaire reported a 60% reduction in triage time, enabling faster handling of urgent and medical requests while keeping implementation scope narrowly aligned to Natural Language Processing classification capabilities.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2022 2022
eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
eCommerce eCommerce 2025 2025
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Lead Generation CRM 2024 2024
Marketing Analytics CRM 2022 2022
Tag Management CRM 2022 2022
Tag Management CRM 2022 2022
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2022 2022
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2022 2022
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2022 2022
Cloud Storage IaaS 2024 2024
Content Delivery Network IaaS 2025 2025
Content Delivery Network IaaS 2022 2022
Content Delivery Network IaaS 2022 2022
Content Delivery Network IaaS 2026 2026
Domain Name System (DNS) IaaS 2022 2022
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Web Application Firewalls (WAF), Phishing Protection CyberSecurity 2025 2025

IT Decision Makers and Key Stakeholders at Laboratoire D'Appareillage Oculaire

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Laboratoire D'Appareillage Oculaire Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Laboratoire D'Appareillage Oculaire IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Laboratoire D'Appareillage Oculaire digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Laboratoire D'Appareillage Oculaire Technographics
Laboratoire D'Appareillage Oculaire is a Life Sciences organization based in France, with around 10 employees and annual revenues of $2.0 million.
Laboratoire D'Appareillage Oculaire operates a diverse technology stack with applications such as Amazon Pay, Shopify POS and NLP Cloud Platform, covering areas like Payment Processing, Point Of Sale and Natural Language Processing.
Laboratoire D'Appareillage Oculaire has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Amazon Web Services (AWS), Shopify and NLP Cloud.
Laboratoire D'Appareillage Oculaire recently adopted applications including Shopify CDN in 2026, Shopify in 2025 and Cloudflare CDN in 2025, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Laboratoire D'Appareillage Oculaire’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Laboratoire D'Appareillage Oculaire’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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