List of Picquora AI PIM Customers
San Francisco, 94133, CA,
United States
Since 2010, our global team of researchers has been studying Picquora AI PIM 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 Picquora AI PIM for Product Information Management 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 Picquora AI PIM for Product Information Management include: PayPal, a United States based Banking and Financial Services organisation with 24400 employees and revenues of $31.80 billion, Poshmark, a United States based Retail organisation with 800 employees and revenues of $262.0 million, SimpleTire, a United States based Retail organisation with 360 employees and revenues of $112.0 million and many others.
Contact us if you need a completed and verified list of companies using Picquora AI PIM, 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 Picquora AI PIM 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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PayPal | Banking and Financial Services | 24400 | $31.8B | United States | Picquora | Picquora AI PIM | Product Information Management | 2023 | n/a |
In 2023, PayPal was listed among Picquora integrations and is associated with Picquora AI PIM in Product Information Management. The listing indicates PayPal's use of Picquora's AI/PIM APIs to manage commerce metadata and to support payments-linked product experiences in the United States. This connection is described in vendor materials and aligns with Product Information Management capabilities such as catalog enrichment, metadata normalization, and API-based product data services for checkout and discovery workflows.
Picquora AI PIM deployment for PayPal is described as API-centric, leveraging PIM and data-integration modules to surface enriched product metadata into commerce and payments flows. Operational coverage for this implementation is focused on commerce, payments engineering, and product management functions in the United States, with the vendor highlighting streamlined checkout and improved product discovery through these integrations. Integration governance and rollout details are not specified in source material, the implementation narrative centers on API-driven metadata services and AI-based enrichment tied to PayPal's commerce and payments experiences.
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Poshmark | Retail | 800 | $262M | United States | Picquora | Picquora AI PIM | Product Information Management | 2023 | n/a |
In 2023, Poshmark implemented Picquora AI PIM, a Product Information Management application used to support image-driven product discovery and automated product-data enrichment for marketplace listings in the United States. The Picquora AI PIM implementation centers on catalog and listing workflows, targeting merchandising and catalog operations to enhance item metadata and to ingest visual signals alongside seller-provided data.
Functional modules inferred from Picquora's product and integrations messaging include product information management, automated product tagging, and enrichment automation to standardize listing attributes and support search relevance. Picquora appears as an integration on the vendor site, indicating integration into Poshmark's commerce platform data flow to augment seller-submitted images and listing metadata, and governance is aligned to catalog operations and merchandising teams while the vendor positions the solution to improve product tagging and search relevance for commerce platforms.
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SimpleTire | Retail | 360 | $112M | United States | Picquora | Picquora AI PIM | Product Information Management | 2023 | n/a |
In 2023, SimpleTire deployed Picquora AI PIM to enhance product catalog enrichment and image driven fitment for its ecommerce operations in the United States. Picquora AI PIM is used in SimpleTire's Product Information Management workflows to provide AI driven product recognition and to populate structured tire fitment attributes for product pages and catalog records.
The implementation centered on PIM catalog enrichment and image based fitment capabilities, leveraging machine vision to extract tire attributes from images and generate suggested attribute sets for titles, specifications, and compatibility fields. Configuration emphasized automated enrichment pipelines with curator review, allowing catalog managers to validate and approve AI suggested metadata before publishing.
Picquora is listed on the vendor site as a client and integration, and the deployment integrated Picquora AI PIM with SimpleTire's ecommerce catalog and vehicle fitment processes to surface compatibility data in search and product detail workflows. Operational scope included merchandising, catalog management, and ecommerce operations focused on tire fitment accuracy across the United States.
Governance and workflow changes introduced validation checkpoints and content stewardship for enriched records, aligning product data owners and merchandising teams on approval gates. Reported vendor outcomes for this engagement include faster vehicle inspection and improved customer satisfaction as a result of the Picquora AI PIM enhancements.
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