ClearMetal is a supply chain software platform that applies machine learning and predictive analytics to freight visibility, inventory forecasting, and demand planning. The platform consolidates shipment, order, and inventory data across carriers, ERPs, and warehouse systems, then surfaces predictions and suggested actions to reduce stockouts, lower expedited freight spend, and improve service levels. ClearMetal is used by shippers, 3PLs, retail supply chains, and manufacturers that need to move from reactive logistics to predictive operations.
The product focuses on two core areas: continuous visibility into in-transit inventory and demand-driven inventory optimization. For visibility, ClearMetal ingests carrier and telematics feeds, EDI messages, and proprietary shipment updates to produce normalized, real-time status and estimated time of arrival (ETA) predictions. For inventory and planning, the platform uses probabilistic forecasting models to translate visibility signals into replenishment recommendations and multi-echelon inventory policies.
ClearMetal is offered to enterprise customers as a cloud-hosted SaaS solution and, following industry trends for supply chain deployments, is often delivered with a phased onboarding plan that includes data integration, model training, and pilot use cases. The platform is positioned for mid-market to large enterprises that have complex global supply chains, multiple data sources, and a need for automated decision support rather than manual spreadsheet processes.
ClearMetal performs continuous data ingestion, normalization, and predictive analytics across shipping and inventory domains. It standardizes disparate inputs—carrier tracking, EDI 214/315/856, order management systems, WMS events, and customs data—into a single, searchable event stream. That unified dataset enables ETA calculations, dwell-time detection, and exception scoring.
The platform runs machine learning models that produce deliverables such as probabilistic ETAs, expected delivery windows, demand forecasts at SKU-location granularity, and recommended replenishment actions. These outputs are surfaced through dashboards, alert workflows, and integration endpoints so planners and transportation teams can act earlier and with quantifiable confidence levels.
ClearMetal also includes scenario planning and what-if simulation capabilities for shipment routing, inventory buffer optimization, and demand surge handling. Users can test the impact of lead-time variability, carrier delays, and demand spikes on on-hand coverage and service levels before committing to changes in procurement or transportation modes.
Key functional areas and capabilities:
Each feature area is typically supported by an implementation program that includes data mapping, model calibration using historical data, and a pilot phase to validate predictive accuracy against actual outcomes.
ClearMetal offers these pricing plans:
ClearMetal pricing is frequently quoted as an annual contract for enterprise customers, with discounts applied for multi-year commitments and larger transaction volumes. Typical enterprise engagements include set-up fees and professional services for integration, which are priced separately depending on the number of data sources, level of customization, and geographic scope.
For organizations evaluating ClearMetal, price includes the hosted software, ML model maintenance, and standard support tiers. Advanced services such as dedicated data engineering, custom API work, and on-site workshops are often added as separate professional services agreements. Check ClearMetal's current pricing on their official pricing and solutions pages for the latest contract models and volume-based rates: View ClearMetal's pricing and deployment options (https://www.clearmetal.com/pricing).
Implementation cost considerations commonly encountered with ClearMetal deployments include data preparation, mapping legacy EDI flows, and creating reliable connectivity to carrier APIs. Budgeting for pilot months, professional services, and potential middleware licenses is recommended when requesting a formal quote.
ClearMetal starts at $2,000/month for entry-level visibility implementations when billed monthly. That entry point typically covers a limited lane set, a constrained SKU scope, and access to standard dashboards and ETA functionality.
Mid-tier implementations that include inventory forecasting, multi-site planning, and more extensive integrations commonly range in the $5,000–$15,000/month band depending on transaction volume and number of connectors. These implementations usually include a package of professional services for setup and model calibration.
Enterprise deployments with global scope, multi-echelon optimization, and custom SLAs are priced via negotiation and often include annual recurring fees plus implementation and integration costs. Customers typically plan for an initial 6–12 month rollout budget that covers software, services, and change management.
ClearMetal costs roughly $24,000/year for the Starter plan when billed annually at the monthly-equivalent rate of $2,000/month. Annual pricing frequently includes a commitment discount compared to month-to-month billing and may require a minimum one-year contract.
Professional-tier annual contracts typically fall in the $60,000–$180,000/year range, depending on the breadth of functionality, level of support, and integration complexity. These contracts are common for mid-market shippers that require both visibility and forecasting across multiple DCs or international lanes.
Enterprise programs are custom-priced on an annual basis and often include volume-based metrics (number of shipments, SKUs, or data events) that determine final contract value. For accurate enterprise pricing, organizations should request a tailored quote and a statement of work that clarifies implementation milestones and outcomes.
ClearMetal pricing ranges from approximately $2,000/month to custom enterprise contracts depending on scope and requirements. The lower end covers visibility-only pilots while the higher end reflects full-scale, multi-echelon forecasting and optimization projects.
Total cost of ownership should factor in implementation services, data integration effort, ongoing data management, and potential changes to internal processes — not just the subscription fee. Many procurement teams measure ROI in freight savings, reductions in safety stock, and fewer stockouts rather than software cost alone.
When evaluating costs, consider phased rollouts that begin with visibility and ETA accuracy, then expand to forecasting and replenishment to spread implementation spend and capture incremental value.
ClearMetal is used primarily for two business objectives: improving shipment visibility and optimizing inventory through predictive forecasting. For logistics teams, the platform provides earlier and more accurate ETAs so exceptions can be handled prior to disruption. For supply chain planners, the platform converts visibility signals into demand forecasts and replenishment actions that reduce emergency orders and expedite spend.
Typical business uses include weekly and daily planning workflows where insights from ClearMetal replace manual tracking spreadsheets. Transportation operations use the ETA predictions to prioritize exceptions and allocate carrier capacity; purchasing and inventory teams use the SKU-location forecasts to adjust reorder points and safety stock policies.
Industry use cases include retail (reducing out-of-stocks during promotions), manufacturing (improving supplier lead-time visibility), and 3PL operations (consolidating tracking for multiple clients and improving SLA adherence). The platform is also used to identify systemic carrier or routings problems by aggregating dwell, delay, and exception patterns across lanes and vendors.
Operational benefits realized by users include earlier detection of late shipments, lower emergency expedited freight spend, improved fill rates, and reduced excess inventory when models enable more precise buffers. ClearMetal is often used as the analytics layer on top of existing ERPs and TMS, providing predictive signals rather than replacing transactional systems.
ClearMetal's strengths include advanced machine learning applied specifically to logistical event data and inventory forecasting. The platform's predictive ETAs and probabilistic forecasts help teams move from reactive firefighting to proactive exception handling. Its ability to normalize disparate data streams into a single event model is valuable for organizations struggling with fragmented visibility.
Another advantage is model-driven decision support: ClearMetal surfaces not just alerts but recommended actions (e.g., expedite decision, change PO timing, or reroute). This prescriptive element shortens time-to-decision for planners and transportation managers. In practice, customers report measurable reductions in expedited spend and improvements to service levels when the models are well-calibrated.
On the downside, ClearMetal is designed for enterprise-scale problems and requires investment in data integration and change management. Organizations with limited digital footprints, inconsistent data, or small shipment volumes may find the implementation effort disproportionate to near-term benefits. There is a learning curve for planners used to manual processes, and the platform requires organizational alignment to act on model outputs consistently.
Finally, because many ClearMetal customers are large enterprises, pricing and contract terms can be complex. Procurement teams should budget for professional services during the first 3–6 months and verify SLAs and support coverage. When considering ClearMetal, evaluate internal readiness for data quality, the number of data sources, and the governance model for acting on automated recommendations.
ClearMetal typically offers a discovery phase and pilot engagements rather than a self-serve free trial. The pilot approach pairs the vendor with customer data to validate model accuracy on a subset of lanes or SKUs and demonstrates potential return on investment. During this pilot, customers can see ETA improvements, forecast accuracy lift, and suggested replenishment actions without committing to a full enterprise rollout.
Pilot programs usually last 6–12 weeks and include integration of a limited set of data feeds, configuration of alerting rules, and a set of success metrics agreed upon in advance. This trial-style engagement provides concrete evidence for stakeholders and helps fine-tune the models for a broader deployment.
For buyers who want to explore product capabilities without a pilot, ClearMetal publishes product collateral, case studies, and solution briefs; however, the most reliable way to evaluate performance is through a data-backed pilot with real shipments. Prospective customers should contact ClearMetal to request a pilot and scope the expected inputs and outcomes.
No, ClearMetal is not a free product for enterprise use. The platform is licensed as a paid SaaS solution with pricing tiers and professional services. Entry-level pilots or discovery assessments may be provided under limited engagement terms but ongoing use requires a subscription.
Organizations evaluating ClearMetal should anticipate software fees plus integration and professional services costs, which are typically built into the initial contract. For small teams or low-volume shippers, the per-month cost and implementation effort may make lighter-weight or freemium visibility tools more cost-effective.
ClearMetal provides programmatic APIs and integration endpoints designed for exchanging visibility events, forecast outputs, and recommended actions with upstream systems. The API suite supports JSON-based RESTful endpoints for retrieving ETAs, subscription-style webhooks for shipment events and exceptions, and batch endpoints for forecast exports.
Common integration patterns include:
ClearMetal's API capabilities enable two-way synchronization so that changes made in the planning system can be fed back into ClearMetal for closed-loop optimization. For developers, ClearMetal typically provides API documentation, sample payloads, and sandbox endpoints as part of onboarding. For enterprise customers, custom API work and advanced integrations are often implemented by ClearMetal professional services or certified partners.
For details on specific API endpoints and authentication flows, consult ClearMetal's developer documentation and integration guides: Review ClearMetal's API and integration resources (https://www.clearmetal.com/platform).
These alternatives vary significantly in scope. Paid competitors generally cover visibility and predictive ETAs at scale, while open-source options are better for budget-constrained teams that can implement custom forecasting logic and integrations.
ClearMetal is used for predictive shipment visibility and inventory forecasting. Logistics teams use it to predict ETAs and risk scores for in-transit shipments, while planners use its demand forecasts to set reorder points and safety stock. The platform aims to reduce emergency freight spend and improve service levels through earlier, data-driven decisions.
Yes, ClearMetal integrates with SAP and Oracle ERP systems. Integration typically happens via APIs, EDI, or batch file exchange to synchronize orders, inventory positions, and forecast outputs for downstream execution and reporting. Professional services frequently assist with the mapping and validation steps.
ClearMetal starts at approximately $2,000/month for entry-level visibility pilots and increases for professional and enterprise tiers depending on lanes, SKUs, and integrations. Pricing is usually quoted as an annual contract with optional professional services for onboarding.
No, ClearMetal typically offers data-driven pilot engagements rather than a free self-serve trial. Pilots allow customers to test the platform on a subset of shipments or SKUs to demonstrate ETA accuracy and forecast lift before committing to a full deployment.
Yes, ClearMetal supports ETAs for ocean containers and multi-modal shipments. It aggregates carrier event data, port status, and historical transit variability to produce probabilistic arrival windows for ocean and intermodal legs.
ClearMetal follows enterprise security practices for cloud SaaS deployments. Typical safeguards include TLS encryption for data in transit, role-based access controls, and contractual commitments for data handling; customers should verify certifications and SOC or ISO attestations during procurement.
Implementation timelines vary, but most pilots run 6–12 weeks and full rollouts take 3–9 months. The timeline depends on the number of integrations, data quality, and internal change management; phased deployments (visibility first, forecasting second) shorten time-to-value.
Yes, ClearMetal provides RESTful APIs and webhook endpoints for integration. APIs expose ETAs, risk scores, and forecast outputs and support both pull and push integration patterns with TMS, ERP, and internal dashboards.
Small businesses can use ClearMetal but should evaluate fit based on complexity and cost. The platform is optimized for customers with multiple data sources and sufficient shipment volume to justify ML-driven forecasting; smaller teams may find lower-cost or open-source options more appropriate.
Customers typically see reductions in expedited freight spend, fewer stockouts, and improved forecast accuracy. Reported benefits include lower safety stock requirements, faster exception resolution, and improved on-time delivery rates when models are well-integrated into operational workflows.
ClearMetal hires across data science, software engineering, logistics consulting, and customer success functions. Roles often require experience in machine learning, time-series forecasting, cloud engineering, and supply chain operations. Candidates with hands-on experience in TMS/ERP integrations and data engineering for logistics are frequently in demand.
Career progression in ClearMetal-style companies typically includes opportunities to work in cross-functional implementation teams, product engineering, and client-facing analytics roles. Job seekers should review the company's official careers page and LinkedIn for the latest openings and role descriptions.
ClearMetal has historically engaged with systems integrators, logistics consultancies, and technology partners to resell and implement its platform. Affiliate or partner programs usually include training for integration partners, co-selling arrangements, and certified implementation tracks. Prospective affiliates should reach out to ClearMetal's partnerships team to request program details and certification requirements.
You can find user reviews and peer comparisons on enterprise software review sites and logistics technology forums. Common places to check include review platforms and industry analyst reports that compare shipment visibility and inventory forecasting vendors. For authoritative product details and case studies, consult ClearMetal's customer success pages and solution briefs on the official website: Explore ClearMetal's customer case studies and solution materials (https://www.clearmetal.com).