AI business use case

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The sales representatives of any large firm need to contact each partner to understand their needs and provide the updated product information to them frequently. This is an automatable task using AI which saves cost and lets sales representatives use their time building relations.

For the ease of readers, let's take the example of cisco's web extension as the product.

1) Description:


Design an AI platform to predict interest from partners in new products or features of Cisco. This removes the need to have individual sales representatives for thousands of small businesses and AI platforms will be able to engage partners online to cross-sell or upsell. Every small business has different requirements and new variations of cisco web extension are bound to be developed or already developed. For example, the platform can gauge interest and predict the partner who should be sent the promotional email about a new feature update of cisco web extension. This removes the need to have individual Cisco representatives for thousands of partners.

2) Scope Statement:


Every partner has different requirements and new features of Cisco are bound to be developed or already developed. An AI platform can gauge interest and predict the partner that should be sent the promotional email about a new feature update of Cisco. The scope of this project is limited to building targeting model and does not include the development of the content of emails. The model can be trained using labels according to different types of contents for email.

3) Exploration/Key Questions:


a. Is a historical data set sufficient?
b. Are there other AI platforms performing a similar function?
c. How much Cisco can save on costs and sales by adopting the AI system?
d. How accurate the system can fulfill the partner’s requirement?
e. What are the benefits for Partners?
4) Target User(s):
Marketing team, Business Development team, Finance team, and Analytics team in Cisco

5) Expected Outcomes:


Increase in adoption of Cisco and its new features; development of leads and prioritization of partners into tiers: Platinum, Gold, and Silver according to which partners can earn loyalty points.

6) Success Metrics:


Initially, metrics to track are the ratio of Website traffic to website leads, percentage of relevant product recommendation, and bounce rate. Furthermore, after we have enough user feedback and data, we will track the cost reduction for Cisco by adopting the system.

7) Technology used:


NLP for promotional mails and rule-based systems for supervised learning models. Examples include automated analysis of customer emails or conversational technologies such as chatbots and Email based classification model

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