Review of UnitySCM, supply chain software vendor

By Léon Levinas-Ménard

Last updated: April, 2025

UnitySCM, founded in 2020 by Amir Taichman and Barak Cohen and headquartered in San Jose with deep operational roots in Israel, is a cloud-based supply chain management platform engineered to modernize operations by unifying data from ERP, WMS, TMS systems, spreadsheets, emails, and unstructured sources into a single, actionable digital view. Its design emphasizes real-time tracking, automated data correction, and proactive workflow automation—including dispute resolution for issues such as demurrage and detention fees—while offering a highly configurable data model that adapts to diverse operational needs with minimal IT intervention. Backed by a Series A funding round of $13.2M in May 2023 and built on an AWS-centric technology stack leveraging modern languages like TypeScript alongside Python, UnitySCM aims to empower supply chain executives with immediate visibility and proactive decision-making support in an arena long challenged by legacy data silos and manual, error-prone processes.

Overview of UnitySCM

Company Background

UnitySCM emerged in 2020 with founders Amir Taichman and Barak Cohen at the helm, setting up headquarters in San Jose and establishing operational roots in Israel¹². The company secured a Series A funding round totaling $13.2M in May 2023, underscoring investor confidence as evidenced by profiles on PitchBook and coverage in Calcalistech³⁴.

UnitySCM Solution Deliverables

Practical Functionality

UnitySCM delivers an end-to-end supply chain management solution that focuses on:

Data Consolidation and Visibility: Aggregating information from ERP, WMS, TMS systems, spreadsheets, emails, and various unstructured sources into one unified digital dashboard, offering a complete portrait of supply chain operations ⁵.
Real-Time Insights and Automation: Enabling immediate tracking of orders, shipments, and inventory through automated data normalization and enrichment, which in turn supports proactive decision-making.
Workflow Automation and Dispute Resolution: Streamlining operations through automated workflows and specifically addressing disputes—such as automatically identifying and challenging demurrage and detention fees by comparing carrier invoices with shipment milestones ⁶.

Technical Capabilities

On the technical front, UnitySCM excels by:

Data Ingestion & Transformation: Employing a rules-based engine for extracting, parsing, and normalizing data from both structured and unstructured sources, with advanced enrichment mechanisms that integrate third-party data (e.g. shipment ETAs and status updates) directly into the system record ⁵⁷.
Cloud-Native Deployment & Integration: Operating as a SaaS solution that is delivered via the cloud, facilitating rapid onboarding and smooth integration with legacy systems such as SAP and Oracle. Job postings indicate an AWS-centric, modern tech stack utilizing TypeScript along with languages like Python, Java, or Go to support CI/CD pipelines and infrastructure-as-code approaches ⁸.

How UnitySCM Works

UnitySCM’s underlying methods center on a highly configurable data model that “remixes” and maps incoming information into a cohesive record, thereby minimizing manual intervention. The platform automates data correction by proactively detecting anomalies and errors across data streams—employing a mix of rules-based logic and, where applicable, AI/ML techniques such as advanced OCR for universal data ingestion and machine learning for flagging discrepancies ⁹¹⁰. This automated approach ensures that the consolidated data is both accurate and actionable for real-time analytics and reporting.

State-of-the-Art Assessment

UnitySCM leverages modern, cloud-native architectures and integration-friendly designs to break down traditional data silos in supply chain operations. Its innovative approach to data consolidation and real-time operational insights is complemented by AI/ML capabilities that primarily enhance data extraction and anomaly detection. While the company emphasizes advanced AI in its marketing, technical assessments suggest that many of these features—though powerful—lean on sophisticated rule-based systems augmented by machine learning rather than embracing a fully revolutionary deep-learning–driven paradigm. The platform’s focus on agile deployment and developer-friendly engineering practices positions it as a state-of-the-art SaaS offering geared toward immediate process improvements and enhanced operational visibility.

UnitySCM vs Lokad

When comparing UnitySCM with Lokad, two distinct philosophies in supply chain software emerge. UnitySCM, established in 2020, centers on unifying disparate data sources and streamlining real-time operational workflows through configurable data models and automated resolution functionalities such as demurrage fee dispute. In contrast, Lokad—founded in 2008 and detailed extensively in its technical brief—employs a more mathematically rigorous approach to supply chain optimization, leveraging predictive forecasting powered by deep learning and a custom domain-specific language (Envision) to enable bespoke, quantitative decision-making. Essentially, while UnitySCM emphasizes integration, data consolidation, and operational automation with incremental AI enhancements ⁵⁶, Lokad offers a platform designed to transform supply chain decision-making by embedding advanced predictive optimization and algorithmic intelligence into every facet of the process ¹¹. The choice between the two approaches hinges on whether an organization prioritizes rapid, integrated visibility over a deep, science-driven optimization engine.

Conclusion

UnitySCM offers a modern, agile cloud-based solution poised to eliminate the traditional challenges of disconnected supply chain data and manual processes. By consolidating diverse data sources and automating key workflows—including real-time insights and dispute resolution—the platform delivers significant operational improvements for supply chain executives. Although its AI and machine learning components are primarily focused on enhancing data ingestion and anomaly detection rather than disrupting established decision-making paradigms, UnitySCM’s configurable model and seamless integration with legacy systems provide immediate, tangible benefits. In comparison with platforms like Lokad, which delve deeper into predictive optimization through advanced algorithmic approaches, UnitySCM is well suited for organizations seeking a smooth, integrative upgrade to their existing supply chain operations without an extensive upfront commitment to custom “numerical recipes.”