Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Applicable Industries
- Chemicals
- E-Commerce
Applicable Functions
- Sales & Marketing
- Warehouse & Inventory Management
Use Cases
- Demand Planning & Forecasting
- Inventory Management
Services
- System Integration
About The Customer
SAFIO Solutions is a SaaS vendor for ecommerce and supply chain, headquartered in Brookfield, Wisconsin. The company provides a cloud-based, forecasting software solution for inventory optimization. The software was created nearly twenty years ago by founder Audrey Walby, who saw a need for an accurate, efficient, comprehensive tool for making the forecasting process more effective. The software connects all channels of data and integrates a client's vital sales and inventory information into a platform that enables strategic decision-making for inventory optimization and overall company performance improvement.
The Challenge
SAFIO Solutions, a SaaS vendor for ecommerce and supply chain, faced a significant challenge in integrating multiple channels of data from various sources into their solution. The data could come from clients' ERP, Excel files, QuickBooks, e-commerce marketplaces like Shopify, Amazon, and more. The integration process was mission-critical to SAFIO Solutions and their customers, but the options were limited, time-consuming, and sometimes required manual processes. The company initially partnered with an integration provider who fell short of their needs. They needed a replacement that would improve customer experience, be cost-competitive, decrease time to revenue, and help expand the SAFIO Solutions business. The challenge was further complicated by the fact that their clients operated using a variety of apps, channels, and ERP systems, each with different integration requirements.
The Solution
SAFIO Solutions found their solution in Celigo, a versatile integration platform. The company's Chief Technology Officer, David Zey, considered several key elements when choosing a solution: good integration, support, cost-effectiveness, and the ability to solve future problems. Celigo met all these requirements, offering a pricing model based on actual integration points, not on usage or bandwidth by their client. This model was a major draw as it meant no limitation on flows. Once the SAFIO Solutions team learned how to use Celigo, they were able to speed up implementations, running multiple projects with fewer resources simultaneously. The flexibility of the solution made it easier to think through different approaches to solve their customer’s needs. Celigo also retained the original data in case of failures, allowing for reprocessing and a cleaner operational workflow.
Operational Impact
Quantitative Benefit
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