28 SymphonyAI Testimonials

"To improve productivity further, Atlantic Grupa introduced multi-level picking. Within the first year of implementation, the company gained a 7% overall increase in productivity and 50% decrease in picking errors."

"De-averaging our customers and figuring out who they are to simply better serve them, is exactly the core principle in terms of what we do on customer-centricity, and that’s the very much purpose of customer segmentations."

"Since we started our loyalty program in 2014, SRAI has helped us to build a customer-centric perspective of our business processes. In both personalized marketing and the extension of customer data in our business decisions, SRAI enabled us to better understand our customers and improve customer loyalty."

"For more than six years Symphony RetailAI and REWE jointly built customer-centric solutions in the areas of direct marketing, pricing, promotion and assortment optimization."

"When we started our loyalty program, we got six million trackable customers at one go. Together with [SymphonyAI] we then started to analyze this valuable data and began to use it to be more relevant in our customer communications through personalization. Beyond that, [SymphonyAI] analytics and tools helps us to optimize our core business like finding the right prices, products and promotions."

"We need to align ourselves with our customer base from a forecasting perspective, so we can ensure we have their needs correctly identified. We then need to align better with our supplier base, to ensure that they are producing product in the ample supply to meet the needs of those customers."

“It’s the most amazing tool I’ve seen in over 20 years in space planning. We can intelligently cluster our stores based on sales metrics, and can now take steps closer to the goal of guest-centric assortments, all without adding head count. Without the Symphony RetailAI solution including Intelligent Clustering, Assortment Optimization, Store Planning HQ, and Planogram Automation, this felt to be an unattainable dream.”

“As Hawaii’s only locally owned grocery retailer with stores statewide, we are committed to continually innovating and improving to ensure we provide outstanding experiences for our customers while also delivering strong financial results, We undertook a thoughtful, multi-year assessment of vendors to select the best partner to guide us through this transformational change. [SymphonyAI] emerged as the clear leader. The company’s deep understanding of the grocery business, focus on strong long-term partnerships, and leading AI-based solutions will position our company to thrive not only in the near-term but into the future as well.”

“Extrafarma has always been known for our excellent in-store customer service, Our partnership with Symphony RetailAI has boosted this and has allowed Extrafarma to further progress on our personalization journey. Each of our customers is unique and their personal shopping habits are important for us to understand. Since we began working with Symphony RetailAI, we are better equipped to market to our customers because we know them better.”

“We’ve found our partnership with Symphony RetailAI to be a true win-win scenario, Our customers feel recognized and valued because they receive promotional offers or discounts where they matter, on the products they’re already in the habit of buying. As a company, we’ve benefited from improved customer loyalty, which is evident from the increases in shopping frequency, average basket size, and the range of categories represented in a customer’s basket.”

“You have to be able to anticipate the precise expectations of each customer and the exact needs of each point of sale in order to meet demand and to deliver maximum fluidity and reliability. It is essential to manage the supply chain from end to end, with great flexibility and responsiveness,This is exactly what the AI-based technologies from [SymphonyAI] brings us. We will be able to accelerate our strategic transformation by unifying purchasing, finance, replenishment, and logistics processes, considering customer preferences across a common platform. The retail business expertise and long-term vision of [SymphonyAI] convinced us that it is the right partner to support us in this vast transformation project.”

“SymphonyAI has really helped us drive rapid adoption in our membership because of its ease of use. The Merchandise Space team’s use of SymphonyAI to drive high-impact, customer-focused category reviews that increase sales has driven a desire in our membership to widen the scope of the delivery. As a result of this growing demand from members, our team has grown from three to eight. Members are eager to engage with us because they know they will see increased customer satisfaction and positive business results.”

"The selection of GOLD Warehouse Replenishment & Instant Insight was made in compliance with a "zero gaps" principal. In concrete terms, particular attention was paid to the functional coverage of the tools during the call for tenders and a strict process made it possible not to have to carry out any changes in the project phase. Finally, this principle has largely contributed to meeting the deadlines initially planned as well as to achieving the expected gains."

"The implementation of SymphonyAI GOLD Warehouse Replenishment has made it possible to automate ordering tasks and thus free up time to reinvest in high added-value tasks such as performance analysis and development of deeper relations with suppliers. For example, thanks to the inventory stratification, GOLD Instant Insight allows us not only to identify the potential for inventory optimization but also to visualize their medium-term projection."

“We used the analytics to drive a shopper-led store re-clustering initiative, We grouped stores into three shopper-led clusters. Together with our retailer, we had deep discussions around the clusters and the solutions for each, and we used SymphonyAI for assortment optimization for each cluster. We analyzed incremental share of market and assortment model to generate the best scenario for each cluster. Then we generated planograms for each shelf specifically for different clusters.”