Differentiated Services
As leaders in leveraging cloud technology for digital transformation, our mission is to empower companies to effectively utilize AWS, aligning it with their strategic goals. We cut through the hype, offering insights, strategy, and expertise to harness AWS for tangible organizational benefits. Our services span from data analytics to cloud-native software development, ensuring impactful cloud projects that resonate with both your team and customers. We’re committed to making your AWS journey impactful, driving innovation and efficiency in your business operations.
Differentiated Services
As leaders in leveraging cloud technology for digital transformation, our mission is to empower companies to effectively utilize AWS, aligning it with their strategic goals. We cut through the hype, offering insights, strategy, and expertise to harness AWS for tangible organizational benefits. Our services span from data analytics to cloud-native software development, ensuring impactful cloud projects that resonate with both your team and customers. We’re committed to making your AWS journey impactful, driving innovation and efficiency in your business operations.
Advisory
VALUE DRIVEN ADVISORY
- Innovation and Business Value driven advisory.
- Learnings from Amazon Innovation Mechanism, Leading Global Consulting Firms.
- Data and Technology-Centric Approach
- NED, Board level guidance.
- Executive coaching, and master classes.
Supply Chain Consulting
360° SUPPLY CHAIN CONSULTING
- Ideation and Planning of Use Cases using the ‘Working Backwards’ Methodology
- Supply Chain Consulting to Foster Innovation
- Collaboration with Customer Operations and Supply Chain Teams
- Offering Dedicated Support to Technology Teams for Developing Relevant Solutions
- Maximising Investments in Hyper-Scaler Technologies
Business / Operating Model
Enabling best practices
- Develop CXO-level North Star Vision and Business Case
- Translate Strategy into Actionable Roadmaps for Programs/Projects
- Define Use Case-Specific Requirements and ROI
- Offer Field Enablement and Best Practices for Change Management
AWS Supply Chain
AWS SUPPLY CHAIN
- AWS SC Workshop
- AWS SC Rapid POC – 10 Reasons
- AWS SC Training
- AWS SC Implementation
- AWS SC, Forecast customization
- AWS Supply Chain Accelerator Service.
AWS Cloud Migration
Recognising that the business decision will be based not only on the cost of infrastructure, through a side-by-side comparison, but also on the increased operational agility, SupplyChainWise (SCW) will carry out Supply Chain Management (SCM) and Manufacturing Best Practice (MBP) assessments alongside the Migration Readiness Assessment (MRA). By amalgamating both Supply Chain Management and Manufacturing Best Practice assessments into the MRA, SCW can ensure a holistic approach to migration that optimizes operations across both domains while leveraging the capabilities of AWS. This integrated approach can lead to significant improvements in efficiency and effectiveness throughout your organisation.
SaaS Offerings
THE ECO-SYSTEM
- Distributed Order Management (F2P)
- Warehouse Management Systems
- Transportation Management Systems
- Manufacturing Execution Systems
- Visibility and Tracking Solutions
- Cold Chain and Provence systems
- GenAI Orchestration Engine
- Electronic Customs process
- E-Commerce enablement in USA and EMEA
- Trust Ecosystem underpinned by Block Chain – secure freight
Cloud Ops
Cloud Solution
- Supply Chain / Manufacturing Readiness Assessment
- Supply Chain Application Modernisation Assessment and Roadmap
- Managed business migration to the cloud
- Financial operations to optimise infrastructure.
- Well-Architected Reviews.
- Unified billing solutions for cloud and tech.
AWS SC 10 REASONS
Unified Data Model with ML-driven Insights:
Unified data model using machine learning (ML) to unify disparate data from various sources, enabling actionable insights for supply chain management.
Seamless Integration with Existing Systems:
Connects effortlessly to existing enterprise resource planning (ERP) and supply chain management systems, eliminating the need for replatforming, upfront licensing fees, or long-term contracts.
Data Lake for Comprehensive Data Management
Sets up a data lake to understand, extract, and transform diverse data into a unified model, utilizing ML and natural language processing (NLP) for association, ensuring comprehensive data management.
Real-time Visual Mapping
Contextualizes data in a real-time visual map, allowing users to interactively view current inventory, its health, and potential risks across locations, providing valuable insights for inventory managers.
Automated Insights and Risk Detection
Automatically generates insights into potential supply chain risks using ML models, minimizing overstock or stock-out risks. Alerts are generated for detected risks, ensuring proactive risk mitigation.
ML-powered Vendor Lead Time Predictions
Applies ML models similar to those used by Amazon to generate accurate vendor lead time predictions, enabling supply planners to update assumptions and reduce stock-out or excess inventory risks.
Personalized Insight Watchlists
Enables inventory managers, demand planners, and supply chain leaders to create personalized insight watchlists, allowing customization based on location, risk type, stock threshold, and team members as watchers.
Recommended Actions with Sustainability Impact:
Automatically evaluates, ranks, and shares rebalancing options with inventory managers, scoring options by risk resolution, facility distance, and sustainability impact, improving decision-making over time.
Built-in Contextual Collaboration
Facilitates collaboration by providing built-in contextual collaboration capabilities, allowing teams to chat and message about risks and recommended options, reducing errors and delays caused by poor communication.
ML-driven Demand Planning
Enhances demand planning accuracy by generating more accurate demand forecasts, adjusting to market conditions, and enabling collaboration across teams to avoid excess inventory costs and waste, all powered by ML analysis of historical and real-time data.