AnswerRocket (credit image/Pixabay/Tung Lam)Robling, a provider in retail data analytics, and AnswerRocket, a pioneer in generative AI analytics, have launched their GenAI retail analytics platform. The solution provides retailers with an AI assistant, Max, that delivers on-demand retail insights. The companies say this enables faster, more informed decisions to enhance performance and drive growth.

Revolutionising retail analytics with Generative AI

The retail industry has long struggled with effectively utilizing data due to siloed systems and limited analytics tools. Robling and AnswerRocket’s GenAI retail analytics platform addresses this challenge head-on. The solution provides retailers with a revolutionary 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 GenAI technology with Robling’s 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.

(Credit image/LinkedIn/Jeff Buck)
Jeff Buck, CEO of Robling

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 easy like having a conversation, but with 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. It helps 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. 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 programmes?”
  • 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?”

Enterprise Times: What this means for businesses.

Brands and retailers have long struggled with effectively using data to facilitate more effective customer engagement. Data often remains siloed in systems operated by disparate business units in the business. Marketing departments, customer services, POS or call centre often control and maintain different aspects of customer data. In addition, analytics often appears as a black science with limited analytics tools remaining a major challenge for many retailers.

As a result, the Robling and AnswerRocket partnership to launch a new GenAI-Powered Analytics Platform for Retailers is a welcomed step. The companies say the new conversational BI solution will support retailers with instant, data-driven insights to optimise their retail performance. Providing the solution does what written on the tin, then any tool providing intelligence to business retail data should be considered.

 

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