The Dynamic Interplay Between Human Insights and AI in Inventory Management, Customer Care

The retail industry’s commitment to artificial intelligence (AI) is unmatched, surpassing all industries except finance. According to the International Data Corporation (IDC), a staggering $300 billion investment in AI is anticipated by 2026. This influx of resources promises to augment the relationship between humans and machines, delivering immense advantages to brands and consumers. There's a huge opportunity for brands to harness the power of AI insights while continuously leaning on the invaluable experience and industry knowledge of their workforce, resulting in an extraordinary fusion of human and technological capabilities.

Defining the New Relationship

AI applications took off in customer care and inventory management when the world went virtual in 2020. Today, conversational AI helps consumers to swiftly resolve common issues through real-time generated prompts, which lessens the call volume for human agents. This frees agents up to focus on higher priority customer needs that demand a personalized human touch.

These emerging technologies boost productivity by aggregating thousands of data points in natural language, making retail insights more accessible. Employees can get real-time inventory levels and ask questions about historical data that may have typically required hours of data analysis.

With the evolving e-commerce landscape, brands now possess the opportunity to foster greater agility through intelligent insights derived from immediate analysis. This approach can significantly impact a brand’s bottom line, staffing needs and customer satisfaction. However, it's crucial to acknowledge that the intelligence of AI models is contingent upon the quality of data they're trained on, thereby requiring ongoing human intervention and input, particularly in nuanced scenarios.

Balancing Insights

In the realm of customer care and inventory management, conversational AI is a game-changing tool, capable of sorting through vast amounts of data and supporting routine interactions. However, it requires a synergistic relationship between human expertise and machine capabilities.

AI technology can help teams immediately determine specific product levels and show a holistic view of inventory across different warehouses. This gives teams the ability to optimize their operations by strategically moving items closer to high demand shipping locations and providing better visibility into potential inventory obstacles. AI can also inform workforce planning and create better knowledge management, particularly around peak seasons.

Additionally, AI chatbots can serve as invaluable initial touchpoints within customer care. They effectively address customer inquiries, triage issues and escalate them for human-centered support when needed. By capturing relevant information during these interactions, chatbots can equip agents with comprehensive insights, enabling continuity when engaging with customers. Agents can also sort through chatbot-generated recommendations and weigh them against outcomes from similar events and their own experiences. This reciprocal relationship fosters a continuous feedback loop, where human agents can give the AI chatbot feedback for future interventions.

Evolving With AI

The retail industry will continue to become more integrated with AI, but it’s not the end-all-be-all. Industry professionals have an incredible opportunity to use their own expertise paired with intel from tools like ChatGPT for faster decision making. Trained technology will become smarter over time with more ingestible data, but we’re still in the early stages.

In the face of a rapidly evolving era of AI-driven transformation, today’s retail workforce must proactively prepare themselves with a thorough understanding of AI technology and evaluate how it can be effectively applied to their respective roles. The expanded use of AI has the potential to impact everyone across an e-commerce workforce, making it crucial for individuals to embrace continuous learning and development.

With so much at stake, it's vital for both brands and retailers to find the delicate balance between human insights and AI recommendations to drive success amid the fluctuating retail landscape.

Robin Gomez is the director of customer success and innovation at Radial, a B2C e-commerce fulfillment experts enabling brands to deliver a best-in-class customer experience.