Celigo > Case Studies > Intelligentsia Coffee's Rapid Ecommerce Growth Powered by iPaaS ‘Hub’ Strategy

Intelligentsia Coffee's Rapid Ecommerce Growth Powered by iPaaS ‘Hub’ Strategy

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Technology Category
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Applicable Industries
  • Consumer Goods
  • Retail
Applicable Functions
  • Maintenance
  • Sales & Marketing
Use Cases
  • Machine to Machine Payments
  • Retail Store Automation
Services
  • System Integration
About The Customer
Intelligentsia Coffee is an iconic American coffee roasting company and retailer based in Chicago. Founded by Doug Zell and Emily Mange in 1995, the company is a key player in the third wave coffee movement. Intelligentsia Coffee offers Direct Trade coffee varieties through their website and over a dozen coffee bars in six cities across the United States. A few years ago, the company was manually processing 200-400 daily transactions. However, with the addition of Magento, Amazon, and Shopify to their eCommerce platforms, the company experienced a significant increase in sales orders.
The Challenge
Intelligentsia Coffee, a renowned American coffee roasting company, was facing a significant challenge in managing its rapidly expanding eCommerce business. The company was using an outdated process to keep track of eCommerce sales orders, which involved the manual transfer of order batches from one application to another. On average, they were manually processing 200-400 daily transactions. However, with the addition of Magento, Amazon, and Shopify, the business was experiencing a boom in sales orders from all of their eCommerce platforms. The lack of automation meant that order information had to be downloaded, manually processed, and confirmed before being uploaded to the accounting system. This process was not only time-consuming but also prone to errors and delays. The company was looking at thousands of transactions a day, including retail transactions and other financial information such as employee files and payroll files. The manual process was a significant hindrance to the company's growth.
The Solution
To address this challenge, Intelligentsia Coffee launched an internal project in 2018 to connect their eCommerce platforms, retail transactions, and other accounting records to NetSuite. They chose Celigo for its ease of use and breadth of offerings. The company started the migration project by using Celigo’s Magento 2 – NetSuite Integration App to integrate those two applications. The results were instantaneous, with the order-to-cash process becoming fully automated. With the addition of Celigo’s Integration Apps for Amazon and Shopify, the company was able to simplify its entire eCommerce order-to-cash process. The company's retail operations also benefited from this solution. Nightly closing processes that include reconciling cash night sheets, deposits, and credit card transactions were automated. The data from their point of sales system was automatically exported using Celigo, turning a daily task into a weekly reconciliation task.
Operational Impact
  • The implementation of Celigo’s solutions had a profound impact on Intelligentsia Coffee's operations. It not only streamlined manual tasks and saved time and labor but also freed up time for the IT team to pursue new development or refinement of existing integrations. The company was able to migrate from the Magento platform to Shopify Plus with ease, thanks to Celigo. The solution helped in reining-in floating IT systems and integrating them into the fold. As a result, the business was running on a system that allowed them to sustain growth in sales on their eCommerce platforms, even during challenging times. The company was able to unify the business, manage data centrally across all different systems, and maintain a lean organization. The solution enabled Intelligentsia Coffee to operate like a big company, but with a small company footprint.
Quantitative Benefit
  • The order-to-cash process was fully automated, eliminating manual processing of 200-400 daily transactions.
  • The company was able to manage thousands of transactions a day across all their eCommerce platforms.
  • Nightly closing processes were automated, turning a daily task into a weekly reconciliation task.

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