Data Analytics and Engineering for Supply Chain

Yalantis provides end-to-end data engineering, building the foundational “single source of truth” your organization can rely on. We turn your fragmented, untrustworthy data into your most valuable and reliable strategic asset.

Data Analytics and Engineering for Supply Chain

Our Clients

Challenges Data Analytics and Engineering Solves

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Conflicting reports and no single source of truth.

Instead of finance and operations debating whose freight cost report is correct, we build a single, governed data warehouse. This unifies your TMS, WMS, and ERP data, eliminating data chaos so you can identify the true root cause of problems.

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Failed digital transformation and AI projects.

Forget launching expensive AI or predictive analytics projects only to see them fail. We build the clean, reliable, and structured data foundation that is the non-negotiable prerequisite for “garbage in, gospel out” results from any strategic tech investment.

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Operational errors from inaccurate inventory data.

Instead of making costly mistakes like mis-picks, stockouts, or shipping to the wrong address, our solution provides a trusted, “golden record” for your core data. This ensures your physical operations are running on accurate, up-to-date information.

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Compliance failures and audit risks.

Forget the panic of manually pulling spreadsheets for a regulatory or financial audit. We build an auditable, verifiable data trail, allowing you to confidently produce a single, unalterable record of your operations (e.g., for GxP or IFTA) on demand.

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Spiraling freight costs from untrusted data.

Instead of paying inaccurate freight invoices or making poor routing decisions, we unify your carrier portals and TMS data. This gives you the trusted, granular insights needed to dispute penalties, optimize routes, and control logistics spend.

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Critical decisions made on spreadsheets and gut-feel.

You believe your “on-time delivery” KPI is failing, but you can’t prove why. We transform this guesswork into certainty by integrating all the relevant data, empowering you to stop managing by spreadsheet and start making data-driven decisions.

Our Data Analytics and Engineering Services

Data analytics and engineering for supply chain cases

Our clients’ video reviews

Yalantis isn’t a factory that you send over some requirements and they develop exactly to those requirements. They bring a really intelligent and dynamic approach to the engagement that you don’t get sometimes with other vendors.

Simon Jones, CIO in Healthcare

Working with Yalantis, you get their breadth of experience building hundreds of projects. Their expertise and knowledge were second to none. And that makes the difference between a good product and a great product.

Andrew Gazdecki, CEO at MicroAcquire

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Benefits of Our Data Engineering and Analytics Services

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Enable Confident, Data-Driven Decision Making

Eliminate ambiguity by ensuring everyone, from the C-suite to the warehouse floor, is working from the same set of trusted, accurate numbers.

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Reduce Operational Costs & Costly Errors

Prevent multi-million dollar mistakes caused by bad data, such as shipping to the wrong address, holding incorrect inventory, or paying inaccurate freight invoices.

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Accelerate Digital Transformation & AI Adoption

Provide the clean, reliable, and well-structured data foundation that is the non-negotiable prerequisite for any successful AI or predictive analytics project.

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Strengthen Regulatory Compliance & Audit Readiness

Dramatically reduce the time, cost, and risk of audits by maintaining a single, verifiable, and easily accessible record of your operations.

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Eliminate Data Silos and Wasted Meetings

Stop wasting time in meetings debating whose numbers are right. We provide a single source of truth that allows you to spend your time making decisions, not arguing about data.

Frequently Asked Questions

  • How is this different from just buying a BI tool like Tableau or Power BI?

    A BI tool is just a visualization layer; it’s the “last mile.” If you feed it bad data, it will only give you pretty charts of the wrong answers. Our service is the foundational data engineering that ensures the data is accurate, unified, and trustworthy before it ever reaches your BI tool. We fix the “garbage in, garbage out” problem at the source.

  • What data sources do you typically integrate?

    Our service is designed to work with your entire, fragmented data landscape. We are experts at integrating data from core supply chain systems, including your TMS, WMS, ERP (like SAP or Oracle), MES, carrier portals, ELD/telematics systems, IoT sensors, and even legacy AS/400 systems or spreadsheets.

  • How do you ensure data stays clean after the project is done?

    A one-time cleanup is only a temporary fix. Our solution is built for the long term. A core part of our service is implementing the Data Governance Framework and embedding automated data quality monitoring directly into the data pipelines. This ensures that new data quality issues are flagged and remediated in real-time, keeping your data warehouse clean and trustworthy.

  • Can we start with a pilot project?

    Absolutely. In fact, we recommend it. We offer a fixed-scope “Data Maturity Assessment” to give you a strategic roadmap. Or, we can do a “Foundational Data Pilot” where we build an end-to-end solution for a single, high-impact domain (like “On-Time Delivery”) to prove the value and process before a full-scale deployment.

  • What technology do you use for the data warehouse?

    We are technology-agnostic and select the best tools for your specific needs. Our expertise is in modern, scalable cloud data platforms like Snowflake, Google BigQuery, and Amazon Redshift, as well as the robust ETL/ELT tools (like Fivetran, dbt, or custom-built) required to feed them.

How to get started with Yalantis

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