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Supply Chain
Analytics

Lingaro leverages visibility and decision-making across the entire supply chain. We build customized, enterprise-class Supply Chain software solutions translating your data into a competitive advantages.

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Lingaro’s Supply Chain
Analytics Expertise

Every day, we optimize Fortune Global 500 supply chain processes by bringing advanced data analytics together with smart applications, AI, IoT, and RPA. These winning combinations drive customer level service up and operational costs down.

Advanced data analytics power today’s best performing supply chains. Effortless decision making around core supply chain business functions like supply planning, logistics network modeling, demand forecasting, inventory management, all require high-quality data.

100+

pros: analysts, data
scientists, developers

10+

years working with
a leading global supply chain innovators​

800+

experts on board

1800+

successful projects
delivered

10+

years of data analytics
experience

50+

enterprise customers
and counting

30+

countries we
work for

14

nationalities in our
multiculture workplace

AI and Machine Learning

powered solutions

Fast Time-to-Value

with MVP engagement model

Why Lingaro?

Data-driven Approach to supporting decisions with supply chain analytics.
Proven methodology Following SCOR, APICS, and APQC guidelines.
Demand-driven Supply chains responding to market signals are the envisioned end result of our work.
Agile Project delivery approach with incremental adjustments that best meet customer requirements.
Purpose-built tools Selected or developed in-house according to customer requirements.
Domain expertise Supporting custom software solutions meeting even the most niche requirements.
Business expertise and technical knowledge Around global supply chains.
Digital transfromation Perspectives on how supply chain optimization can drive organization-wide improvements.

Read all about interactive, real-time inventory analytics that helped our client reduce inventory and improve cash flow!

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Download Case Study

Check out our infopack to learn more about us, what we do, and how we do it.

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Lingaro infopack

Supply Chain

Supply Chain
Analytics Practice

Digitalized supply chains offer many unique, exciting opportunities for large organizations to achieve operational excellence. Armed with a deep understanding of supply chain processes and technologies, our team can map these opportunities for your business – and help capture them to improve all the key elements your supply chain.
Demand forecasting
Sales forecast implementation
Demand forecasting process and tool implementation
Forecast accuracy improvement
Supply chain design
Supply chain network modeling
Distribution network redesign
Production capability assessment
Sales and Operations planning
Inventory management
Inventory segmentation and classification
SKU rationalization
E2E inventory management optimization
Advanced inventory planning, tracking and control
Real time inventory visibility
Supply chain inventory synchronization
Unproductive inventory optimization
Order management reporting & tracking
Transportation and warehousing
Fleet routing and planning optimization
Transportation reporting system implementation
Warehouse processes optimization
Warehousing reporting system automation

Innovation-Driven Approach

We drive innovations bringing emergent technologies like AI or IoT to level up
current processes and build solution meeting future challenges.

Artificial Intelligence

with automated Machine Learning-based decision support for obsolete inventory management.

Advanced Analytics

driving fast, efficient decision making related to inventory, transportation, demand forecasting, and other core supply chain processes.

IoT

integrations that match physical product movements with information flows to optimize and visualize inventory storage, track & trace functionalities, and last-mile transportation.

Robotic Process Automation

of low-value everyday tasks to streamline supply chain operations and minimize human error.

Process Mining

to audit, analyze, and improve existing operations with objective, fact-based insights derived from transactional data.

Immersive Experiences

that encourage adoption of advanced BI tools.

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