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The Story of Fotocadeau.nl

Read more about the journey of our customer: the difficulties they faced, the way we approached them and the results that followed.

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About the Business

Fotocadeau was founded in 2014 by Amsterdam students who are now conquering the canvas market. They came up with the unique idea to deliver canvas artwork and decoration via webshop orders. The company is growing rapidly thanks to the rise of e-commerce paired with increasing demand for canvas products. The company has been recognised several times as the fastest-growing in their industry.

The Challenge In Pricing

During the rapid growth stage, pricing became increasingly topical. As a small company, it was still manageable to handle prices manually, in Excel. However, with a fast-growing product range, an increasing number of sales channels (own sales channels and marketplaces) and a rapidly growing workforce, a manual approach to pricing was becoming more and more tedious and difficult to undertake correctly. With growth came a need to consolidate the process, to retain pricing knowledge, and to implement changes quickly and automatically without compromising accuracy.

Why Fotocadeau Chose SYMSON

During decision-making, the choice arose between building a pricing algorithm of their own, or adopting a ready-to-use package such as SYMSON. The team soon found out that developing an accurate pricing algorithm required extensive specific knowledge. Besides the algorithm, solid infrastructure was also a must, so optimal prices can be directly implemented in the desired systems with ease. The decision to choose SYMSON is not only based on the speed of implementation, but also on the return on investment.

How SYMSON Responded

The first big challenge was getting the input data in the desired format, so connection with all systems could happen seamlessly. Once this step was completed, different strategies were set up, per channel and per region, to calculate optimal prices for each product across each period.

The Results

The results are based on the criteria below:

  • The time investment / manual work saved with SYMSON, by having the right prices at the touch of a button
  • The margin improvement achieved by the pricing algorithm, through predicting optimal prices
  • The knowledge of the company, now consolidated in SYMSON

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