Enhancing Analytics for a Top US-Based Digital Retailer & Manufacturer with Maventic

How a leading photography products and image sharing company serving over 10 million customers worldwide transformed their supply chain analytics with SAP Datasphere implementation.

60%

Reduction in Report Generation Time

35%

Faster Equipment Movement

100%

Real-Time Insights

About the customer

Our customer is a leading US-based photography products and image sharing company with a global footprint, specializing in personalized photo products, digital printing services, and online image sharing solutions.

Business scenario

Before Maventic, the customer’s analytics across SAP, non-SAP systems, and third-party ticketing tools, were affected by manual processes.

Challenges

Operating with fragmented analytics systems and manual processes, the customer faced critical efficiency and data visibility issues.

  • Manual Processes – Existing processes were predominantly manual, that impeded efficiency and decision-making in the Supply Chain Analytics domain.
  • Delayed Report Generation – Generation of reports took 4-5 hours significantly hampering productivity.

  • Diverse SAP & Non-SAP Data Sources – The customer struggled to get a unified view of their data from multiple data sources.

Solution

The customer recognized the need to optimize its complex supply chain analytics. After assessing various SAP partners, they chose Maventic to streamline processes and generate various mission-critical reports with SAP Datasphere to enhance decision-making.

  • Centralized Data Hub –  SAP Datasphere was implemented to integrate diverse sources, streamlining data management.
  • Informed Decision-Making – Equipment costs from SAP were integrated into Datasphere, enabling warehouse staff to take repair or replacement decisions for inbound equipments.
  • Strategic Insights – Bird’s-eye view dashboards were implemented, enabling management to track critical operations and visualize KPIs for informed decision-making.
  • Inbound/Outbound Material Overview – Real-time insights were shared on products returned by field users, shipping efficiency, order accuracy, and delivery timelines.
  • Replacement Cost Analysis – Enabled warehouse users to receive an informative report on replacement costs for returned equipment, aiding repair or replacement decisions.

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