Robling, a provider of retail data analytics, and AnswerRocket, a provider of genAI analytics, announced the launch of their genAI retail analytics platform. This solution provides retailers with an AI assistant, Max, that delivers on-demand retail insights, enabling faster, more informed decisions to enhance performance and drive growth.
Revolutionising Retail Analytics with GenAI
The retail industry has long struggled with effectively utilising data due to siloed systems and limited analytics tools. Robling and AnswerRocket’s genAI retail analytics platform addresses this challenge head-on, providing retailers with a tool to transform their operations through actionable, real-time insights.
Retailers are ready for change: A recent Accenture report revealed that 75% of retail executives see generative AI as instrumental to their revenue growth.
By combining AnswerRocket’s cutting-edge genAI technology with Robling’s deep retail analytics expertise, the solution offers a conversational business intelligence (BI) experience that’s both powerful and user-friendly. This solution enables users to interact with their data using natural language, receiving precise answers to critical questions within seconds – a capability previously unattainable in the retail analytics space.
“Retailers have been seeking a simple, yet powerful way to engage with their data,” said Jeff Buck, CEO of Robling. “With our genAI platform, querying data is as easy as having a conversation, but with the depth and accuracy of structured analytics. This is a game-changer for executives who need rapid, actionable insights.”
“We’re excited to partner with Robling, a company that shares our vision for innovation in data analytics,” said Alon Goren, CEO of AnswerRocket. “Our platform will empower retailers to fully leverage their data, helping them respond quickly to trends, optimise operations, and drive meaningful growth.”
Key Features for the Modern Retailer
The platform introduces several key features that make it a must-have tool for retail businesses:
- Conversational Insights: Retailers can analyse and visualise their data by simply chatting with the AI assistant, Max. For instance, asking “What’s driving sales in the Southeast?” might reveal that a particular product line is outperforming in Florida due to a successful marketing campaign.
- Customisable AI Assistants: Retailers can tailor the AI assistant to their specific business needs. For example, merchandising could customise Max to focus on trend analysis and inventory turnover, and marketing can analyse the effectiveness of the last promotion on customer acquisition.
- Automated Analysis: The platform can automatically produce recurring reports on a set cadence or as new data is available. For instance, an ecommerce team could automate its weekly campaign performance reporting.
Retail Use Cases
The platform offers practical applications for a range of retail challenges, including:
- Inventory Optimisation: “What inventory levels do we need for the upcoming holiday season?”
- Customer Engagement: “Which customer segments are engaging most with our loyalty programs?”
- Sales Performance: “Which products are underperforming this quarter?”
- Promotion Effectiveness: “How effective are our recent credit card promotions?”
- Store Comparisons: “Which stores are leading in sales for a specific product category?”
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