The "old ways" no longer work!
What is the “smart sales strategy” driven by generative AI?
HULFT problem-solving solutions | For AI project leaders
In a rapidly changing business environment, sales teams need to make fast, data-driven decisions, but building customer profiles can be time-consuming and presents a significant challenge for new sales reps.
In this article, we will introduce how to use generative AI through HULFT Square to automatically generate customer profiles and improve business efficiency.
Sales challenges that prevent quick decision-making
In today's business environment, quick and accurate decision-making is essential, and sales teams are expected to consistently deliver high performance. However, sales representatives face a variety of challenges. For example, newly hired sales representatives must spend a significant amount of time creating customer profiles, and researching past transaction histories and visit records can waste effort and time. These processes ultimately distract them from their core sales activities and can even undermine their competitive advantage.
Another major problem is the lack of information when identifying key people at clients. To answer the question, "Who is the decision maker at this client?", it is necessary to collect and analyze data from various sources. With time pressure, it is difficult to identify people with whom one can build relationships.
Furthermore, market trends and customer needs are changing rapidly, so it is necessary to quickly formulate action plans. However, being busy organizing and analyzing past data can sometimes delay necessary decisions, causing companies to fall behind their competitors. To improve this situation, business automation is essential.
To address these challenges and free up sales teams to focus on their core business, generative AI is becoming mainstream by automating tasks and ensuring an orderly flow of information.
The power of data integration and AI utilization with HULFT Square
This solution extracts data from Salesforce and internal systems, and processes and analyzes it using generative AI. The integration between each service is built using our iPaaS, HULFT Square, which is expected to reduce development time and improve maintainability.
Specifically, it dramatically simplifies the creation of customer profiles for sales teams through the following process:
3 Steps of Automation Use Case
- Data Extraction: HULFT Square centrally extracts the customer data you need from Salesforce and other internal systems.
- AI-powered data processing: The extracted data is fed into generative AI, which analyzes and generates customer organizational charts and related information, speeding up the traditionally time-consuming profile creation process.
- Sharing via Chatter: Generated information is published to Salesforce Chatter and shared in an easily accessible format across the sales team, giving everyone instant access to the organizational chart and customer information they need.
summary
By implementing data integration and generative AI with HULFT Square, sales teams can significantly reduce their workload and improve work efficiency. Account plans can be easily created, enabling sales teams to quickly understand customer needs and take the appropriate approach.
This overall integration enables automatic generation of customer profiles and real-time information sharing, resulting in more effective sales activities. Take this opportunity to introduce the latest technology and accelerate the digital transformation of your sales management.
Reference) We also accept consultations regarding the introduction of generative AI
Saison Technology provides support for implementing generative AI for business use and for establishing a generative AI infrastructure.
Please feel free to contact us with any inquiries, including "I want to utilize the information we have in our company with AI" or "I want to start a PoC but I don't know where to start."
