List of PredictSpring POS Customers
Predictspring
447 Rinconada Ct,
Los Altos, 94022-3808, CA,
United States
Los Altos, 94022-3808, CA,
United States
1 650-917-9052
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying PredictSpring POS customers around the world, 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.
Each quarter our research team identifies companies that have purchased PredictSpring POS for Point Of Sale from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using PredictSpring POS for Point Of Sale include: Lovesac, a United States based Manufacturing organisation with 607 employees and revenues of $498.0 million, Bouclair, a Canada based Retail organisation with 2500 employees and revenues of $300.0 million, Janie and Jack, a United States based Retail organisation with 2000 employees and revenues of $19.0 million and many others.
Contact us if you need a completed and verified list of companies using PredictSpring POS, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The PredictSpring POS customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bouclair | Retail | 2500 | $300M | Canada | PredictSpring | PredictSpring POS | Point Of Sale | 2023 | n/a |
In 2023, Bouclair implemented PredictSpring POS across its Canadian retail locations. The deployment of PredictSpring POS, categorized as Point Of Sale, was completed across all stores to deliver full POS and mPOS capabilities, clienteling Customer 360, endless-aisle commerce and real-time inventory visibility aimed at improving in-store customer experience and omnichannel fulfilment including BOPIS and BORIS.
The implementation included explicit configuration of clienteling and inventory management modules, enabling sales associates to access Customer 360 profiles at the point of interaction and to execute endless-aisle order capture. PredictSpring POS standardized transaction processing across fixed terminals and mobile devices, supporting in-store checkout and order acceptance for ship from store and buy online pickup in store workflows. The platform provisioning encompassed front-end point of sale workflows and associate-facing clienteling interfaces.
Architecturally the rollout unified store POS terminals and mobile point of sale devices under the PredictSpring POS platform, orchestrating inventory visibility in real time to support fulfilment routing for BOPIS and BORIS. Integration work focused on linking front-end POS interactions with inventory management and fulfilment channels at the store level, maintaining operational continuity for retail store sales and operations. The deployment scope covered merchandising, store operations and fulfillment touchpoints across Bouclair's Canadian estate.
Governance and rollout were executed nationally with configuration governance centered on the clienteling and inventory modules as described in the announcement, and operational handoff to store operations, merchandising and fulfillment teams. The public disclosure frames the PredictSpring POS deployment as an omnichannel enablement initiative targeting improved customer experience and fulfilment capabilities rather than reporting quantified outcomes.
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Janie and Jack | Retail | 2000 | $19M | United States | PredictSpring | PredictSpring POS | Point Of Sale | 2023 | n/a |
In 2023 Janie and Jack implemented PredictSpring POS, a Point Of Sale application, across 106 U.S. stores to unify online and in-store shopping and consolidate store sales and CRM workflows. The deployment targeted store operations and CRM in the United States and was executed as a retail point of sale modernization focused on omnichannel checkout and associate-led engagement.
PredictSpring POS was configured to enable clienteling, explicit CRM integration, real-time inventory visibility, and associate-led sales capabilities. Functional configuration emphasized in-store associate workflows for clienteling, POS transaction processing, and inventory lookups to support seamless purchasing and client engagement at the point of sale.
Integrations included direct CRM integration as part of the deployment to surface customer profiles and purchase history for clienteling, and real-time inventory visibility to align in-store availability with online assortments. Operational coverage was the companys retail store footprint in the United States, with the solution harmonizing e-commerce and in-store experiences through synchronized inventory and customer data flows.
The rollout completed in 18 weeks across 106 stores, driving changes in associate workflows and clienteling processes to leverage CRM data at the counter. Outcomes reported from the deployment included faster omnichannel transactions and improved associate productivity, reflecting the combined use of PredictSpring POS and integrated CRM and inventory capabilities.
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Lovesac | Manufacturing | 607 | $498M | United States | PredictSpring | PredictSpring POS | Point Of Sale | 2022 | n/a |
In 2022, Lovesac implemented PredictSpring POS to modernize showroom Point Of Sale capabilities across its U.S. retail showrooms. The PredictSpring POS deployment was chosen to centralize clienteling and omnichannel checkout functions and to support in-showroom payments and financing workflows.
The implementation enabled core modules for clienteling and CRM driven interactions, inventory management and visibility for special orders, and payments functionality including QR and remote payment options. PredictSpring POS was configured to handle showroom special-order workflows and to surface financing options at point of sale, reflecting documented module usage for clienteling, inventory, and payments.
This was a U.S.-focused rollout targeting Lovesac showroom operations and retail store sales, designed to speed the path to purchase and personalize customer interactions through CRM and clienteling features. Operational coverage emphasized showroom sales associate workflows and omnichannel order handling, aligning POS transactions with inventory and special-order processes.
Governance focused on operationalizing the new omnichannel Point Of Sale workflows within showroom sales procedures and on integrating payments, inventory and financing workflows into standard retail operations. The program was explicitly described as intended to speed path to purchase and to deliver more personalized customer interactions through PredictSpring POS.
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Buyer Intent: Companies Evaluating PredictSpring POS
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD PredictSpring POS Coverage
PredictSpring POS is a Point Of Sale solution from PredictSpring.
Companies worldwide use PredictSpring POS, from small firms to large enterprises across 21+ industries.
Organizations such as Lovesac, Bouclair and Janie and Jack are recorded users of
PredictSpring POS for Point Of Sale.
Companies using PredictSpring POS are most concentrated in Manufacturing and Retail, with adoption spanning over 21 industries.
Companies using PredictSpring POS are most concentrated in United States and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of PredictSpring POS across Americas, EMEA, and APAC.
Companies using PredictSpring POS range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 0%.
Customers of PredictSpring POS include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified PredictSpring POS customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Point Of Sale.