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Independent restaurant chain Modernizing a multi location sales close system built on forty year old technology

Iviju helped an independent restaurant chain modernize its mission critical sales data management system by moving a heavily manual legacy environment to a resilient cloud based application on AWS

Metric

23 locations
sales data ingested and validated within minutes

Metric

40
concurrent API invocations per sales submission

Metric

1 month to 1 hour
reduction in cloud infrastructure provisioning cycle time

Client Snapshot
  • Company Independent restaurant chain
  • Industry Food service
  • Location United States
  • Engagement Sales data modernization
Business Challenge

What needed to change

An independent restaurant chain with 23 locations was still relying on back office and financial applications built on forty year old legacy technology. The system carried a great deal of internal knowledge but almost no usable documentation, which made it expensive to support, difficult to change, and risky to maintain

The business also struggled to collate sales information from all 23 locations in a timely way. The monthly sales close process was slow, timing constraints created reporting inefficiencies, and sales data from dine in takeout and catering workflows complicated month end close. Combined with limited skilled resources, this led to inconsistencies in reported sales across enterprise systems

Our Approach

How Iviju delivered

Iviju began with detailed discussions on how best to re engineer the existing architecture. We led a discovery phase to document each business process with reverse engineering tools, captured the as is state in detailed documentation, and separated five distributed legacy systems and monolithic components into a modern cloud native design on AWS

After finalizing the technical design, we planned three sequential releases and built the new framework in stages. Product demos and sprint reviews were held every three weeks with product business and IT owners so feedback could shape the platform as it evolved. We used multiple AWS services to deliver a robust mobile compatible application with autoscaling, high availability, and the capacity to handle peak concurrent users

Delivery Detail

Implementation specifics

  • Documented business processes and legacy logic through reverse engineering and discovery
  • Captured the as is state so the team could safely transition off the undocumented legacy environment
  • Separated five distributed legacy systems and monolithic components into a cloud native target design
  • Planned the rollout through three sequential releases
  • Held product demos and sprint reviews every three weeks with product business and IT stakeholders
  • Built a mobile compatible AWS based application with autoscaling and high availability
  • Created a single integrated web application for end to end sales close reporting and data reconciliation
Business Outcomes

What changed after delivery

The modernized sales system is now a single integrated web application that collects consolidates and reports restaurant sales data across the full sales close process. The new platform replaced five distributed forty year old systems with an intuitive cloud native single source of truth for sales closure reporting and data reconciliation across all 23 locations

The modernization program reduced the legacy footprint and moved a mission critical enterprise system forward with cloud adoption and stronger operating resilience. The platform now ingests and validates sales transactions from all 23 locations within minutes, supports 40 concurrent API invocations per sales submission, and cuts cloud infrastructure provisioning time from one month to one hour

  • Single integrated web application for end to end sales close across 23 locations
  • Five distributed legacy systems replaced with a cloud native single source of truth
  • Sales transactions from 23 locations ingested and validated within minutes
  • Supports 40 concurrent API invocations per sales submission
  • Cloud infrastructure provisioning cycle time reduced from one month to one hour
23 locations sales data ingested and validated within minutes
40 concurrent API invocations per sales submission
1 month to 1 hour reduction in cloud infrastructure provisioning cycle time
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