![](\"https:\/\/sparque.ai\/wp-content\/uploads\/2025\/11\/ms-schippers.webp\" "\\"ms-schippers\\"")
<\/span><\/div><\/div><\/div>MS Schippers<\/h1><\/div>Passion for farming<\/p>\n<\/div><\/div><\/div><\/div><\/div>
About MS Schippers<\/h2><\/div>MS Schippers is an international wholesaler who supplies everything needed for keeping livestock. Schippers strives to be the European market leader and envisions reduction to \u201cZero Antibiotics\u201d. Stable hygiene is of the utmost importance for farmers, so Schippers proactively meets those needs. Ranging from relevant product recommendations that predicts needs based on seasons to suggesting the correct quantities to order. The more complete an order, the fewer a farmer needs to exit and enter the stables.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
![](\"https:\/\/sparque.ai\/wp-content\/uploads\/2025\/11\/MS-sparque-intershop.webp\" "\\"MS-sparque-intershop\\"")
<\/span><\/div><\/div><\/div>How SPARQUE.AI helped MS Schippers<\/h3><\/div>Relevant product recommendations are often added to the cart by customers. This is why MS Schippers ensures that their key target groups make good use of these product recommendations. They do that by increasing the relevancy and shortening their customers\u2019 journeys. This way, MS Schippers achieves both a better user experience and higher order values.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Higher customer satisfaction and 10% higher order values<\/h3><\/div>High quality recommendations are very helpful to customers, since they make ordering so much easier. B2B customers are expert users and know products very well and can judge in an instant if the recommendations are any good. When they are not, it causes annoyance. When they are however, recommendations convert very well. For customers, such a guided experience is the most convenient way to complete an order. For MS Schippers, it is a pathway to higher conversion rates, higher order values and a higher share-of-wallet.<\/p>\n<\/div><\/div><\/div>
![](\"https:\/\/sparque.ai\/wp-content\/uploads\/2025\/11\/2405_sparque_customer-images-025.webp\" "\\"2405_sparque_customer-images-025\\"")
<\/span><\/div><\/div><\/div><\/div><\/div>![](\"https:\/\/sparque.ai\/wp-content\/uploads\/2025\/11\/2405_sparque_customer-images-010-1.webp\" "\\"2405_sparque_customer-images-010\\"")
<\/span><\/div><\/div><\/div>Imagine. Done.<\/h3><\/div>How does it work? SPARQUE.AI\u2019s unique Build-your-own-algorithm feature ensures the MS Schippers e-commerce team can get recommendations exactly right. Order data is used to offer recommendations that fit the customers\u2019 order history, that are cross-sold to other customers in the same customer segment and since seasons are important in agriculture, that fit the needs of the current growing season.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Passion for farming<\/p>\n<\/div><\/div><\/div><\/div><\/div>
About MS Schippers<\/h2><\/div>MS Schippers is an international wholesaler who supplies everything needed for keeping livestock. Schippers strives to be the European market leader and envisions reduction to \u201cZero Antibiotics\u201d. Stable hygiene is of the utmost importance for farmers, so Schippers proactively meets those needs. Ranging from relevant product recommendations that predicts needs based on seasons to suggesting the correct quantities to order. The more complete an order, the fewer a farmer needs to exit and enter the stables.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>How SPARQUE.AI helped MS Schippers<\/h3><\/div>Relevant product recommendations are often added to the cart by customers. This is why MS Schippers ensures that their key target groups make good use of these product recommendations. They do that by increasing the relevancy and shortening their customers\u2019 journeys. This way, MS Schippers achieves both a better user experience and higher order values.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Higher customer satisfaction and 10% higher order values<\/h3><\/div>High quality recommendations are very helpful to customers, since they make ordering so much easier. B2B customers are expert users and know products very well and can judge in an instant if the recommendations are any good. When they are not, it causes annoyance. When they are however, recommendations convert very well. For customers, such a guided experience is the most convenient way to complete an order. For MS Schippers, it is a pathway to higher conversion rates, higher order values and a higher share-of-wallet.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div>Imagine. Done.<\/h3><\/div>How does it work? SPARQUE.AI\u2019s unique Build-your-own-algorithm feature ensures the MS Schippers e-commerce team can get recommendations exactly right. Order data is used to offer recommendations that fit the customers\u2019 order history, that are cross-sold to other customers in the same customer segment and since seasons are important in agriculture, that fit the needs of the current growing season.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
MS Schippers is an international wholesaler who supplies everything needed for keeping livestock. Schippers strives to be the European market leader and envisions reduction to \u201cZero Antibiotics\u201d. Stable hygiene is of the utmost importance for farmers, so Schippers proactively meets those needs. Ranging from relevant product recommendations that predicts needs based on seasons to suggesting the correct quantities to order. The more complete an order, the fewer a farmer needs to exit and enter the stables.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>How SPARQUE.AI helped MS Schippers<\/h3><\/div>Relevant product recommendations are often added to the cart by customers. This is why MS Schippers ensures that their key target groups make good use of these product recommendations. They do that by increasing the relevancy and shortening their customers\u2019 journeys. This way, MS Schippers achieves both a better user experience and higher order values.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Higher customer satisfaction and 10% higher order values<\/h3><\/div>High quality recommendations are very helpful to customers, since they make ordering so much easier. B2B customers are expert users and know products very well and can judge in an instant if the recommendations are any good. When they are not, it causes annoyance. When they are however, recommendations convert very well. For customers, such a guided experience is the most convenient way to complete an order. For MS Schippers, it is a pathway to higher conversion rates, higher order values and a higher share-of-wallet.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div>Imagine. Done.<\/h3><\/div>How does it work? SPARQUE.AI\u2019s unique Build-your-own-algorithm feature ensures the MS Schippers e-commerce team can get recommendations exactly right. Order data is used to offer recommendations that fit the customers\u2019 order history, that are cross-sold to other customers in the same customer segment and since seasons are important in agriculture, that fit the needs of the current growing season.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Relevant product recommendations are often added to the cart by customers. This is why MS Schippers ensures that their key target groups make good use of these product recommendations. They do that by increasing the relevancy and shortening their customers\u2019 journeys. This way, MS Schippers achieves both a better user experience and higher order values.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Higher customer satisfaction and 10% higher order values<\/h3><\/div>High quality recommendations are very helpful to customers, since they make ordering so much easier. B2B customers are expert users and know products very well and can judge in an instant if the recommendations are any good. When they are not, it causes annoyance. When they are however, recommendations convert very well. For customers, such a guided experience is the most convenient way to complete an order. For MS Schippers, it is a pathway to higher conversion rates, higher order values and a higher share-of-wallet.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div>Imagine. Done.<\/h3><\/div>How does it work? SPARQUE.AI\u2019s unique Build-your-own-algorithm feature ensures the MS Schippers e-commerce team can get recommendations exactly right. Order data is used to offer recommendations that fit the customers\u2019 order history, that are cross-sold to other customers in the same customer segment and since seasons are important in agriculture, that fit the needs of the current growing season.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
High quality recommendations are very helpful to customers, since they make ordering so much easier. B2B customers are expert users and know products very well and can judge in an instant if the recommendations are any good. When they are not, it causes annoyance. When they are however, recommendations convert very well. For customers, such a guided experience is the most convenient way to complete an order. For MS Schippers, it is a pathway to higher conversion rates, higher order values and a higher share-of-wallet.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div>Imagine. Done.<\/h3><\/div>How does it work? SPARQUE.AI\u2019s unique Build-your-own-algorithm feature ensures the MS Schippers e-commerce team can get recommendations exactly right. Order data is used to offer recommendations that fit the customers\u2019 order history, that are cross-sold to other customers in the same customer segment and since seasons are important in agriculture, that fit the needs of the current growing season.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
How does it work? SPARQUE.AI\u2019s unique Build-your-own-algorithm feature ensures the MS Schippers e-commerce team can get recommendations exactly right. Order data is used to offer recommendations that fit the customers\u2019 order history, that are cross-sold to other customers in the same customer segment and since seasons are important in agriculture, that fit the needs of the current growing season.<\/p>\n<\/div><\/div><\/div><\/div><\/div>