Revamp Retail
with Agentspace

Store managers can use Google Agentspace to optimize operations, through enhanced decision-making, and improve overall store performance. For example, Agentspace can support planning staffing schedules, as well as providing easy access to sales data and inventory levels all in one place.

These would enable Store Managers to focus on providing better service to customers as less time is spent doing manual planning, both through ensuring available customer service at all times, and products are sold out at any one time.

Marketing professionals in retail can use Google Agentspace to create and activate more targeted and personalised marketing campaigns.

With personalization becoming more and more important for online retailers, marketing teams can use Agentspace to quickly answer questions about current or target customers, from first- and third-party date sources. Teams can also build research reports on new industry trends to inform campaign strategy and create new image, video and text to feed into that campaign. Agentspace for marketing is powered by connectors to marketing analytics platforms, such as the one Datatonic developed with ASOS.

Inventory and Supply Chain managers can use Google Agentspace to easily track inventory levels, manage orders and transport all in place without having to rely on multiple tools to get a clear picture of the supply chain.

Users can gain knowledge faster on what needs to be restocked, without needing to understand the more complex systems to gain the data, accelerating decision-making, and improving customer service by avoiding low stock and delayed delivery. Agentspace will allow everyone to easily interact with their supply chain data in a natural language, removing data bottlenecks, allowing the data to quickly be acted upon.

Agentspace will enable buyers and merchandisers to easily and quickly analyze vast datasets of sales information, identify emerging trends in consumer preferences, and predict future buying behaviors with greater ease and accuracy.

This means buyers and merchandisers can make more informed purchasing decisions, selecting merchandise that is likely to resonate with their target customers and minimizing the risk of investing in slow-moving or unpopular items. By leveraging Agentspace and AI Agents to predict retail trends through better analysis of historical data, social media sentiment, and various market signals, buyers and merchandisers can deliver the right product at the right time to their customers.