List of Zams Customers
San Francisco, 94133, CA,
United States
Since 2010, our global team of researchers has been studying Zams 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 Zams for Sales Automation 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 Zams for Sales Automation include: Cargomatic, Inc., a United States based Distribution organisation with 200 employees and revenues of $30.0 million, Shipskart India, a India based Distribution organisation with 45 employees and revenues of $3.0 million, Trusted Choice, a United States based Insurance organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Zams, 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 Zams 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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Cargomatic, Inc. | Distribution | 200 | $30M | United States | Zams | Zams | Sales Automation | 2025 | n/a |
In 2025 Cargomatic implemented Zams to deploy predictive modeling for anticipating accessorial freight fees, using the Zams Sales Automation platform to support targeted finance and operations use cases. The deployment focused on logistics operations in Long Beach, CA and oriented the application toward freight auditing and forecasting workflows within those departments.
The implementation leveraged predictive classification models in Zams to score shipments for likely accessorial charges and to surface exceptions for audit review, aligning Sales Automation capabilities with freight audit scoring and forecasting functions. Configuration emphasized model-driven classification, automated scoring of shipment records, and rule-based exception workflows as described in the vendor case study.
Operational coverage concentrated on finance and operations teams responsible for freight auditing and forecasting in Long Beach, CA, with the solution embedded into existing audit and forecasting processes to tighten fee validation and control. Governance adjustments included updating audit workflows to incorporate model scores and exception routing for manual review by finance staff.
Outcomes reported in the vendor case study show prediction accuracy around 70 percent and a reduction in revenue leakage of 4 percent across the affected logistics operations, reflecting the use of Zams predictive classification models to improve freight fee anticipation and tighten auditing processes.
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Shipskart India | Distribution | 45 | $3M | India | Zams | Zams | Sales Automation | 2025 | n/a |
In 2025, Shipskart India implemented Zams as a Sales Automation application to power a generative-AI catalogue search for its e-procurement marketplace. The deployment was regional across India and targeted procurement and sales workflows to reduce discovery friction between buyers and sellers on the marketplace.
Zams was configured to provide catalogue automation and AI-driven semantic search capabilities, aligning product catalog normalization, natural language query handling, and RFQ matching to improve discovery accuracy. Functional emphasis was on search/catalogue automation for sales/procurement, with model tuning against Shipskart product data and RFQ patterns to optimize intent matching.
The solution was embedded into Shipskart's e-procurement marketplace platform and operationally supported procurement teams and marketplace sellers, with a phased regional rollout in India. Integration details with third party systems were not disclosed, but the implementation was instrumented to measure search accuracy and transaction flows as part of operational monitoring.
Governance centered on iterative model validation and accuracy monitoring, with process owners in procurement and sales overseeing tuning and rollout pacing. Outcomes reported by Shipskart include Zams achieving 97% RFQ and search accuracy and unlocking an incremental 200,000 dollars in transactions, directly addressing procurement and sales discovery friction.
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Trusted Choice | Insurance | 10 | $1M | United States | Zams | Zams | Sales Automation | 2025 | n/a |
In 2025 Trusted Choice implemented Zams, a Sales Automation application, to build a custom AI-driven dynamic pricing model for insurance referral fees. The deployment leveraged Zams pricing model and revenue optimization capabilities to operationalize dynamic fee calculation within the referral workflow, aligning pricing and finance controls. Configuration emphasized algorithmic pricing, rules-based revenue orchestration, and model training pipelines consistent with Sales Automation functional workflows.
The implementation targeted Trusted Choice's Minneapolis operations and centered on pricing and finance functions inside the insurance referral flow, where Zams was embedded to score referrals and recommend fee adjustments. Governance focused on configuring model thresholds and approval workflows for referral fee changes, with rollout constrained to Minneapolis operations. Trusted Choice reported a 7% increase in bottom line revenue and a 12% improvement in conversion accuracy as explicit outcomes of the Zams deployment.
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Buyer Intent: Companies Evaluating Zams
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