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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

JJ Food Service Tech Stack and Enterprise Applications

JJ Food Service ERP
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SoftCo Legacy SoftCo ExpressAP AP Automation ERP n/a 2018 2018
In 2018, JJ Food Service implemented SoftCo ExpressAP for AP Automation to address a high-volume, multi-location accounts payable workload. The distributor was processing 90,000 supplier invoices annually across 11 locations, and the deployment focused on automating invoice capture, approval routing, matching, and exception handling to remove manual routing bottlenecks and increase process visibility. The implementation leveraged core SoftCo Accounts Payable Automation capabilities, including automated document capture, three way matching between invoice, purchase order, and goods receipt note, electronic routing for invoice approval and signatures, and dedicated workflows for queried or rejected invoices. Configuration emphasized straight-through processing where possible, with automated auto-matching rules and exception workflows for manual review. Operationally the solution was integrated with the company Microsoft Dynamics AX ERP so that matched invoices post directly to the general ledger and payment engine. The rollout covered central AP operations and remote approvers across all 11 locations, shifting department responsibilities for coding, matching, and approval into system-enforced workflows and reducing ad hoc email and paper routing across procurement, receiving, and accounts payable functions. Governance and control were formalized through electronic approval chains, exception escalation paths, and query management workflows. As a result of the SoftCo ExpressAP deployment JJ Food Service auto-matches 80 percent of invoices and posts them straight to Dynamics AX without manual intervention, only exception invoices require resolution, vendor payment times have accelerated, and the AP team gained greater control and visibility over invoices at every stage of the process.
ERP Financial ERP 2018 2018
JJ Food Service HCM
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VAR/SI
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Insight
Edenred Legacy Reward Gateway Employee Reward and Recognition Employee Recognition and Rewards Management HCM n/a 2018 2018
In 2018 JJ Food Service deployed Reward Gateway Employee Reward and Recognition on its employee portal at https://jjfamily.rewardgateway.co.uk. The deployment established Reward Gateway Employee Reward and Recognition as JJ Food Service's Employee Recognition and Rewards Management platform, providing a web hosted access point for the company’s approximately 800 employees in the United Kingdom. The implementation focused on operationalizing recognition workflows and reward delivery, leveraging the application to enable social recognition feeds, points based rewards, a central reward catalogue, and administrative dashboards for program management. Configuration and governance centered on HR and internal communications owning program administration and user access, with authentication and portal embedding used to surface Reward Gateway Employee Reward and Recognition within the corporate website and create a single employee touchpoint for recognition and rewards.
JJ Food Service AI Development
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VAR/SI
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Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms AI Development n/a 2015 2016
In 2015 JJ Food Service implemented Microsoft Azure Machine Learning to introduce predictive ordering and recommendation capabilities into its commerce and order management workflows. Microsoft Azure Machine Learning was deployed as the core ML platform within a solution classified as ML and Data Science Platforms, enabling model development and operational scoring for customer-facing ordering experiences. The implementation focused on building a predictive shopping cart and recommendation model that anticipates items customers will order, with model development and experiment tracking conducted in Microsoft Azure Machine Learning and production scoring exposed to ordering channels. Standard ML and Data Science Platforms capabilities were used, including model training pipelines, packaging of models for deployment, and a scoring endpoint to populate carts during checkout and order entry. Integration architecture connected Microsoft Azure Machine Learning outputs with Microsoft Dynamics AX to surface predicted items inside online checkout and during phone orders, ensuring the recommendation data fed directly into order management and customer service processes. The rollout addressed both online and call center channels in the United Kingdom, aligning predictive outputs with existing Dynamics AX product and pricing records to maintain order accuracy. Operational governance centered on embedding models into transaction workflows and establishing procedures for model refresh and monitoring to keep recommendations aligned with catalog changes and ordering behavior. As a result customers receive shopping carts that already list what they are going to order every time they place orders online or by phone, reflecting the combined use of Microsoft Azure Machine Learning and Microsoft Dynamics AX in JJ Food Service business functions such as e-commerce and customer service.
JJ Food Service AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Chatbots and Conversational AI AI-Powered Application 2021 2021
JJ Food Service Collaboration
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Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2015 2015
Survey and Questionnaire Collaboration 2019 2019
JJ Food Service PaaS
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Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2017 2017
JJ Food Service IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Cloud Storage IaaS 2020 2020
Content Delivery Network IaaS 2017 2017
JJ Food Service CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2017 2017

IT Decision Makers and Key Stakeholders at JJ Food Service

First Name Last Name Title Function Department Email Phone
COO CXO Finance
CEO CXO Finance
Director Cloud Architecture/CIO Director IT
Financial Controller Director Finance
Finance Manager Manager Finance

Apps Being Evaluated by JJ Food Service Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from JJ Food Service IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the JJ Food Service digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD JJ Food Service Technographics
JJ Food Service is a Distribution organization based in United Kingdom, with around 800 employees and annual revenues of $200.0 million.
JJ Food Service operates a diverse technology stack with applications such as SoftCo ExpressAP, Reward Gateway Employee Reward and Recognition and Microsoft Azure Machine Learning, covering areas like AP Automation, Employee Recognition and Rewards Management and ML and Data Science Platforms.
JJ Food Service has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SoftCo, Edenred and Microsoft.
JJ Food Service recently adopted applications including Zoho SalesIQ in 2021, Microsoft Azure Cloud Services in 2020 and Microsoft Azure Blob Storage in 2020, highlighting its ongoing modernization strategy.
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Our research team continuously updates JJ Food Service’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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