Optimizing Inventory Management for Supply Chain Service Provider

Optimizing Inventory Management for Supply Chain Service Provider

Enhanced Efficiency and Performance with On-demand Fulfillment & Forecasting Solution

Technology Stack

Problem Statement

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Inefficient tracking of on-demand location: The system lacks the ability to meet customer needs and predict on-demand locations, causing service delays and dissatisfaction.

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Security and Efficiency: The absence of centralized data management poses security risks and operational inefficiencies.

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Tracking Accuracy: Incomplete supply chain metrics tracking hampers accurate performance assessment.

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Metrics Deficiency: Hindered ability to identify areas for improvement effectively due to the lack of comprehensive supply chain metrics tracking.

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Integration and Visibility: Complex monitoring systems and integration issues hinder real-time visibility and efficient collaboration across diverse markets.

Solution Overview

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OptiSol has collaborated with a leading supply chain service provider to implement a user-friendly dashboard-based solution to monitor inventory stocks and optimize deliveries.

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We have also implemented an ML-based forecasting solution that effectively plans and optimizes inventory and capacity.

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OptiSol has optimized warehouse operations with UPH tracking strategies and secure data transfer via SFTP and Azure Data Factory for efficient management.

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We have implemented a cloud-based forecasting pipeline with trained model storage and integrated a dashboard for seamless monitoring across multiple markets.

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Our solution Incorporated AI-based demand forecasting with historical data and hierarchical management for seamless integration across multiple companies, ensuring accurate predictions.

Business Impact

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Operational Efficiency Enhancement: Streamlined inventory monitoring and optimized deliveries enhanced operational efficiency.

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Proactive Customer Fulfillment: Accurate demand forecasting and on-demand location prediction enable proactive fulfillment of customer needs.

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Seamless Integration and Collaboration: Integration of multiple companies within the application fosters collaboration and improves decision-making.

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Data-Driven Decision-Making: Improved performance, cost savings, and competitive advantage are achieved through data-driven decision-making and supply chain metrics tracking.

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UPH Forecasting for Optimization: Timely forecasting for Units Per hour (UPH) provides insights for optimizing operations, enhancing efficiency.

Testimonials of Our Happy Clients

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Awarded as Runner-up under Cloud Solutions Category at the Express IT Awards

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Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.
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