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6 READY-TO-DEPLOY GEN AI USE CASES

By BristleconeApril 4, 2024Blog
No Comments

Ever since the popularity of Chat-GPT exploded back in November 2022, companies
have been following the developments around the much-anticipated Generative AI
(also referred to as GAI). 2023 marked the beginning of a collective effort to
bring this technology to enterprise users. Although Bristlecone had been
experimenting with GAI since early 2023, the major turning point was when a
customer requested us to leverage a solution to summarize multiple documents and
generate the output in a pre-defined format. Since then, we have collaborated
with several customers to explore business use cases for GAI and after many
conversations with multiple customers and partners across industries, we have
shortlisted 6 ready-to-deploy Generative AI use cases. We have already covered 3
of these use cases in an earlier article so we’ll be focusing only on the new
ones.




1

Competitor Analysis: As a best practice, every company monitors the activities
of its competitors. They have a team of business analysts manually scanning
through the quarterly / annual reports of multiple companies to extract trends,
new initiatives, and relevant insights. Generative AI can help streamline this
effort by summarizing these reports in a pre-defined structure. Generative AI’s
capability of reading through semi-structured documents will enable you to
automatically calculate some of the KPIs like YOY margin, YOY revenue, etc. And
it will not stop there! A conversational UI will let you query additional
information from these reports, enabling business analysts to respond faster to
queries.


2

Supply chain risk sensing: Supply chain disruptions are becoming the new normal
and companies have been forced to plan and respond to these events proactively.
Supplier-related risks, market volatility, and potential network bottlenecks are
dynamic and often unstructured. Companies have long tried to tame this
unstructured data to extract structured insights, but the cost and scale of
executing such a system have been a major prohibitor for the adoption of this
solution. GAI has reduced the initial investment required to create such
risk-sensing solutions. It can enable advanced analysis like abstract
summarization, entity recognition, event classification, topic modeling,
relevancy assessment, and redundancy elimination at much faster speeds and with
higher scalability. This proactive approach can enhance the supply chain
resilience and minimize your financial and operational risks.


3

LLM-powered Spend Analytics: Analyzing spend data is a common norm across the
industry. Some teams specifically analyze the company’s spend data to identify
trends and patterns, review supplier performance, detect non-compliant
transactions, offer insights on cost-saving opportunities, and more. This is
usually done using a Business Intelligence (BI) layer on top of the data which
needs to be collated, cleansed and transformed first. After all this heavy
lifting, you consume this information using dashboards and reports. You can also
have customer business rules to identify anomalies in the data, create specific
alerts, and even add a predictive flavor using time-series forecasting. However,
even after doing all this, your insights are only limited to your pre-defined
KPIs. But in this VUCA world, is it prudent to rely on historical KPIs? Enters
GPT-powered Spend Analytics. This approach is already making shockwaves because
of the two reasons:

 1. 1. It can be deployed faster than the traditional methods.
    2. It can offer insights over and beyond your dashboards.

Let’s expand a bit more on ‘point b’. Unlike traditional systems, GPT-powered
Spend Analytics can calculate and create KPIs on the go based on user prompts.
You can even drill down to the specifics in a conversational manner, enhancing
user experience and decision-making.

This is just the beginning of the Generative AI era and it’s only going to
explode further. While it’s perfectly fine to wait for your software / ERP
vendors to embed these capabilities in your day-to-day tools, creating a
differentiated use case for your specific needs can be a game-changer.

Want to discuss how you can leverage the power of GenAI in your business?
Contact us to request an introductory meeting.

TAGS:

GAIGen AIGenerative AI


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LATEST

 * 6 Ready-to-deploy Gen AI Use Cases
 * Choosing the Right Strategy – Integration, Automation, or Both
 * Transforming Mid-Market Supply Chains with SAP SCC
 * Bristlecone Connected Community – Feb. 2024
 * Bristlecone Flash – Feb. 2024


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