AI Buyer Insights:

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

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

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

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

SPB Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Genesys Legacy Genesys Workforce Management Workforce Management HCM n/a 2007 2007
ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Genesys Legacy Genesys Enterprise Workload Management Business Process Management ERP Services and Operations n/a 2007 2007
In 2007 SPB implemented Genesys Enterprise Workload Management as part of a Business Process Management initiative to address high-volume customer communications across its insurance operations. The program targeted a persistent backlog in paper-based correspondence, typically 5,000 to 10,000 items daily, where managers were spending two hours a day on paper issues and responses could take up to five days. The implementation complemented an existing PBX based automatic call distribution environment with Genesys Self-Service interactive voice response and a redesigned IVR flow, after an initial IVR configuration was found to replicate an ineffective skill matrix. Genesys conducted an audit and produced a road map that reduced the original 1,000 skill sets to 50 skill groupings, realigned IVR front-end processes, deployed an email channel, and configured Genesys Enterprise Workload Management to automate routing, optimize agent loading, and include non-voice work such as scanned documents. Enterprise Workload Management was integrated with document scanning and tracking to bring paper correspondence into the same processing pipeline as voice and email. Electronic document files are registered and tracked as they move through the organization, individual workloads are monitored, and delayed documents are flagged at critical workflow points. Third parties were incorporated into the exchange to enable bilateral information flows and maintain processing continuity. Governance and workflow restructuring accompanied the technical changes, with business process reengineering guided by interviews of front-line agents and paper-handling staff to eliminate agent cherry-picking and introduce real-time oversight of workloads and volumes. Reporting and dashboard capabilities were introduced to provide live operational visibility for managers and to centralize control of remote contact centers. The rollout included commissioning remote contact centers managed from France in Tunisia, Switzerland, Portugal, and Belgium to share call load. A pilot using Genesys Enterprise Workload Management on 40 workstations in 2013 exceeded SPB manager expectations, and the solution was cited as helping preserve white-label document integrity and reduce the risk of brand-damaging errors.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Do You Dream Up Legacy Dydu Chatbot Chatbots and Conversational AI AI-Powered Application n/a 2020 2020
In 2020, SPB deployed the Dydu Chatbot in the Chatbots and Conversational AI category to provide automated fault diagnosis for retail products as part of warranty extension journeys. Until 2020 the management of breakdowns for mass market devices was mainly done by telephone, creating friction for policyholders and high volumes for after sales service teams; the Dydu Chatbot was introduced to provide a continuous 24 hours a day, 7 days a week diagnostic channel for household appliances, televisions, game consoles and similar devices. The implementation centers on the Dydu Chatbot natural language processing engine developed by Do You Dream Up, configured to recognize free text failure descriptions and to shift to closed question point and click flows. The bot uses scenario scripting and illustrated decision paths that correspond to each potential situation, and the project included manual capture of product fault codes and scripted resolution trees by two customer relations experts who acted as bot trainers. Technically the Dydu Chatbot is integrated with SPB's CRM so that insured users immediately find the context of their order and the insured product within the conversational flow, enabling the chatbot to surface order context and reduce friction in case handling. The deployment operates across customer relations and after sales service functions and is used in collaboration with retail partners to manage warranty diagnosis at scale. Governance was organized around ongoing bot training and daily monitoring of bot to client conversations by the trained customer relations experts, with continuous enrichment of scenarios and incremental addition of new products. Explicit outcomes stated by SPB include improved customer satisfaction and a reduction in incoming after sales contacts, and the roadmap calls for further feature development and product coverage for the Dydu Chatbot.
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Analytics and BI Analytics and BI 2007 2007
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2017 2017
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Call Center, Customer Experience CRM 2007 2007
Customer Support CRM 2017 2017
Interactive Voice Response (IVR) CRM 2007 2007
Marketing Analytics CRM 2015 2015
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2017 2017
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2014 2014
Application Hosting and Computing Services IaaS 2021 2021
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Next Generation Firewall CyberSecurity 2011 2011
IT Decision Makers and Key Stakeholders at SPB
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by SPB Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD SPB Technographics

SPB is a Insurance organization based in France, with around 1400 employees and annual revenues of $167.0 million.

SPB operates a diverse technology stack with applications such as Genesys Workforce Management, Genesys Enterprise Workload Management and Dydu Chatbot, covering areas like Workforce Management, Business Process Management and Chatbots and Conversational AI.

SPB has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Genesys and Do You Dream Up.

SPB recently adopted applications including Microsoft Azure Cloud Services in 2021, Dydu Chatbot in 2020 and Microsoft 365 in 2017, highlighting its ongoing modernization strategy.

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

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

Subscribe to APPS RUN THE WORLD to access the complete SPB technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.