Case Study: Magnum Cash & Carry achieves 90%+ revenue growth from eco‑bio category launch with SymphonyAI (Symphony RetailAI)

A SymphonyAI Case Study

Preview of the Magnum Cash & Carry Case Study

Understanding customers and global trends to catch the next wave

Magnum Cash & Carry, a leading retailer in Kazakhstan, faced rapid market change — intense competition from untaxed traditional trade, the challenge of centralizing a sprawling national supply chain, and the need to better understand shifting shopper trends. To tackle this, Magnum turned to SymphonyAI, deploying its RetailAI suite for category management, pricing, supply‑chain and store‑operations to enable data‑driven assortment and pricing decisions.

Using SymphonyAI, Magnum launched an eco‑bio (dietary/organic) category in three Almaty stores with data‑backed assortment, shelving and pricing; the launch produced like‑for‑like quantity growth of about 55–60% and revenue growth of more than 90% in the first quarter, with strong customer feedback and plans to roll the concept out to more stores. SymphonyAI’s solutions are also helping Magnum shift from supplier‑led to shopper‑centric category planning and support its broader efforts to centralize distribution and compete on price.


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Magnum Cash & Carry

Jacob Fishman

Commercial Director


SymphonyAI

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