Innochain Overview

Innochain unites AI capabilities for Supply Chain companies under one roof, powered by Innovecs' expertise.

The set of solutions forms a toolkit that is built to handle the pressure points that slow down supply chain operations.

Key Benefits of Innochain

Supply chain managers can rely on Innochain to bring clarity, cut waste, and turn hours of routine into seconds of impact. Every Supply Chain company faces bottlenecks that waste time, raise costs, and leave teams reacting instead of planning. Here are the issues we see most often:

  • File Support – PDF, CSV, XLSX, and image files processed with equal ease.
  • Accuracy – 95–99% recognition with minimal human checks required.
  • Speed – documents handled in seconds, not hours.
  • Cost Savings – significant reduction in labour and error-related expenses.
  • Scalability – smooth performance even during peak loads.
  • Workforce Impact – staff focus shifts from typing to higher-value work.

Document Processing

Manual typing and mismatched formats waste hours in supply chain management. This solution reads purchase orders, receipts, and delivery notes across multiple file types and fills them into the system within seconds. The result is faster supply chain operations, fewer errors, and lower costs.

AI Voice Picking

Paper lists and handheld scanners slow down supply chain activities. With AI voice picking, operators receive tasks through a headset, confirm each step by voice, and keep their hands on the goods. It speeds up onboarding, improves accuracy, and helps warehouse operators work safely at scale.

  • Productivity – workers move directly from instruction to action, improving output by 30% or more.
  • Accuracy – 99.9% pick precision through real-time voice confirmations.
  • Training Speed – new staff reach full performance within days instead of weeks.
  • Real-Time Updates – every action instantly logged into the system.
  • Safety – fewer distractions, with eyes on shelves and hands on goods.
  • Flexibility – supports multiple languages and adapts to different workflows.

Computer Vision for Supply Chain

Congestion, delays, and safety risks often go unnoticed in complex supply chain systems. This solution applies computer vision to track vehicles, drivers, and equipment in real time. From gate entry to docking, every milestone is logged and alerts are raised instantly — giving supply chain managers clarity and control.

  • Image Processing – detects and tracks vehicles, drivers, and equipment automatically.
  • Real-Time Milestones – logs Gate In/Out, Dock In/Out, and Yard In/Out with precision.
  • Instant Alerts – flags congestion, unauthorized access, and safety risks as they occur.
  • Video Surveillance – live footage supports security and operational oversight.
  • Data Capture – records license plate numbers, driver ID, and container IDs for verification.
  • Integration – connects with YMS, WMS, or TMS for unified supply chain planning.

AI Assistants

Support backlogs slow down supply chains when every request waits for a human reply. AI assistants combine natural language processing with machine learning to answer routine questions, resolve requests, and even anticipate issues before they grow. They help supply chain managers reduce costs while improving customer satisfaction.

  • Instant Responses – eliminates wait times with 24/7 availability.
  • Smarter Communication – context-aware conversations built on AI algorithms.
  • Efficiency – automates repetitive tasks, reducing ticket volume.
  • Cost Savings – smaller teams handle larger volumes without loss of quality.
  • Personalization – adapts to customer data to deliver relevant answers.

Case Study: AI Implementation

A global provider of advanced data platforms supporting AI, machine learning, and high-performance computing, with operations in Israel and the USA. The client faced escalating infrastructure costs, inefficiencies from legacy environments, and limited scalability for AI/ML workflows. Their Kubernetes migration threatened service continuity, while outdated CLI tools slowed productivity and created risks for operational efficiency.

Innochain delivered an AI implementation focused on cost-effective cloud infrastructure management. Our team migrated clusters to Oracle Cloud Infrastructure (OCI), improved monitoring by replacing Prometheus with VictoriaMetrics, and optimized CLI performance with automation. We also upgraded Python environments, refined Docker builds, and supported deployment pipelines with tailored DevOps expertise.

  • 20–30% reduction in monitoring system costs, plus 30–40% additional cost savings from Kubernetes migration.
  • 2x–4x faster CLI tool execution and smoother development workflows.
  • Improved operational efficiency through automated package management and upgraded system reliability.
  • Streamlined AI solutions that reduce overhead while boosting performance.
  • Internal teams empowered with knowledge transfer for sustainable adoption.

AI Consultancy for Enterprises

Global enterprises across FinTech, HealthTech, RetailTech, Manufacturing, and more — seeking clarity in AI adoption and long-term growth strategies. Despite heavy investments in AI (averaging $1M annually), many organizations fail to achieve measurable ROI. With 73% of initiatives falling short due to poor strategic planning, enterprises struggle to identify viable AI opportunities, align stakeholders, and prepare infrastructure for scalable adoption.

Innochain introduced AI consultancy focused on readiness assessment and strategic alignment. Our team developed structured adoption roadmaps, conducted data and process evaluations, and ran stakeholder workshops to ensure buy-in across business and technical functions.

  • Informed investment decisions with AI opportunities mapped directly to business goals.
  • Up to 80% success rate in AI project implementation.
  • Optimized infrastructure to support AI workloads at enterprise scale.
  • Stronger cross-functional alignment between leadership, technical, and operational teams.
  • Scalable adoption framework to expand AI initiatives across multiple business units.
  • Increased ROI potential through high-value, targeted use cases.

Conclusion

Innochain applies AI technology where efficiency matters most. From warehouses to transportation yards and customer service desks, our platform helps supply chain managers cut delays, improve planning, and respond to customer demand with greater accuracy. AI that processes documents, guides pickers, and manages yards, contributing to stronger supply chain transparency and resilience.