AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Apps Purchases: 10+ Million Software Purchases

App purchases

Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?

Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.

Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.

Apply Filters For 10+ Million Software Purchases

  • Analytics and BI
Logo Customer Industry Empl. Revenue Country Vendor Application Category When VAR/SI Insight Insight Source
Amadori Consumer Packaged Goods 8978 $1.7B Italy Appian Appian BPM Suite Process Mining 2019 n/a In 2019, Amadori deployed Appian BPM Suite to address a fragmented technology landscape that produced siloed data and extensive manual processes across its supply chain operations. The Appian BPM Suite implementation was initiated to simplify and modernize work for supply chain stakeholders, with the initial production rollout focused on fleet management and maintenance workflows. The implementation delivered a fleet management application built on Appian BPM Suite with process orchestration, workflow automation, and case management capabilities to standardize maintenance-to-order procedures. Amadori configured automated maintenance triggers and order generation workflows, replacing manual handoffs between teams and enabling repeatable process templates; the company reports a 466% reduction in lead time between maintenance and order generation, from roughly two weeks to about three days. Following the fleet management success, Amadori expanded Appian BPM Suite to multiple additional applications across the organization, extending operational coverage within supply chain, logistics, and maintenance functions. Rollout proceeded as a staged program of application development and deployment, emphasizing reuse of process models and centralized orchestration of workflows to reduce manual steps and increase visibility for supply chain users.
Allan Gray Banking and Financial Services 1200 $500M South Africa Appian Appian BPM Suite Process Mining 2019 n/a In 2019, Allan Gray implemented Appian BPM Suite to automate its intelligent client onboarding process, Apps Category . The deployment focused on front-end capture and process orchestration to address usability and KYC gaps in onboarding workflows. The Appian BPM Suite implementation delivered workflow management, transaction processing, centralized business logic, and KYC capability as discrete functional modules. Appian BPM Suite replaced manual capture screens with a model-driven capture layer and instrumented process orchestration, enabling tighter validation rules and a user experience that supported faster application and feature development cycles. Integrations preserved the firm’s existing CRM, with Appian BPM Suite introduced alongside the CRM to provide capture, indexing, and workflow orchestration that feed downstream client records. Operational coverage centered on client onboarding and transaction intake, touching client services, operations, and compliance teams, and supporting end-to-end case handling and transaction processing flows. Governance moved toward centralized business rules and workflow orchestration within Appian BPM Suite, standardizing KYC checks and indexing procedures and enabling iterative releases. Reported outcomes included up to a 20% increase in transaction processing speed, 70% fewer indexing errors, and a reduction in feature delivery cycles from 6 to 12 months down to 2 to 3 months.
Healthcare 400 $38M United Kingdom Appian Appian BPM Suite Process Mining 2019 n/a
Utilities 5000 $2.0B United Kingdom Appian Appian BPM Suite Process Mining 2019 n/a
Insurance 29091 $53.1B United Kingdom Appian Appian BPM Suite Process Mining 2019 n/a
Non Profit 200 $20M United States Appian Appian BPM Suite Process Mining 2019 n/a
Non Profit 1500 $380M United States Appian Appian BPM Suite Process Mining 2019 n/a
Utilities 1094 $751M United States Appian Appian BPM Suite Process Mining 2019 n/a
Healthcare 2000 $350M United States Appian Appian BPM Suite Process Mining 2019 n/a
Utilities 8981 $7.6B United States Appian Appian BPM Suite Process Mining 2019 n/a
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