Customer Company Size
Large Corporate
Region
- Pacific
Country
- Australia
Product
- Astera ReportMiner
Tech Stack
- Data Extraction
- Automation
- Data Transformation
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
Applicable Functions
- Procurement
- Business Operation
Use Cases
- Supply Chain Visibility
- Inventory Management
Services
- Data Science Services
- System Integration
About The Customer
GaP Solutions is a point of sale & retail management software developer, systems integrator, supermarket, food processing, and weighing equipment supplier. Based in Australia, the company is recognized as the foremost innovator of retail solutions. GaP Solutions provides custom software and hardware solutions to clients across a range of industries. The company has installed more than 4,000 POS systems in 1,000 stores all over Australia. GaP Solutions receive around 3,000 Invoices variations from vendors in various formats. These invoices contain unstructured data that needs to be transformed into a structured format, i.e., columns and rows, for further processing.
The Challenge
GaP Solutions, a retail solutions provider, was facing challenges with its invoice processing system. The company received around 3,000 invoice variations from vendors in various formats, all containing unstructured data that needed to be transformed into a structured format for further processing. The company had to process 6,000-10,000 files monthly, with employees manually inputting invoice data into their store systems for payment processing, reporting, analysis, etc. The existing invoice processing approach was inefficient and slow, leading to higher processing order time. GaP Solutions tried multiple data extraction solutions but experienced several issues pertinent to data transformation and quality. The company couldn't afford sub-optimal data extraction performance as it would lead to inaccurate payment processing and reporting.
The Solution
After trying multiple data management software, GaP Solutions selected Astera Report Miner to eliminate manual efforts and fully automate invoice processing. Astera ReportMiner is designed to cater to a variety of data extraction jobs as it supports multiple data formats. It enabled GaP to fully automate the data extraction process by helping them implement a document management transformation system that fetches invoice files directly from emails, extracts the required text fields into XML, and sends it for fact-checking and validation. ReportMiner's template-based extraction allow GaP to capture a set defined fields from each invoice, such as invoice id, vendor name, total cost, and a table for breakdown of cost. The company reuse the report model for invoices that share the same structure and layout. Using ReportMiner's built-in transformations, GaP easily manipulate and transforms data in the desired format.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations

Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.

Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.

Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.

Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.