What Makes Dalpha's AI Consulting Different?
Not sure how to use AI?
AI technology has been advancing by leaps and bounds lately. With groundbreaking AI models like GPT-4o and Stable Diffusion 3.5 launching one after another, AI has become something we can no longer separate from our daily lives.
Yet despite this rapid progress, many companies still aren't using AI effectively. At most companies, AI adoption stops at a reaction of 'how fascinating,' or stays at the level of individual employees using it partially for simple tasks. The reality is that only a tiny handful of companies create real business impact through AI.
Dalpha recognizes the challenges these enterprise clients face, and helps companies use AI effectively to maximize their business results.So in this article, I, as someone who works as an AI consultant, will explain how Dalpha supports its enterprise clients.
AI Consulting: The Heart of the Dalpha Process
Dalpha's 6-Step Process
Dalpha delivers its services through a 6-step process.
AI service exploration: We explore AI solutions that could be applied to the client.
AI consulting: We propose what kind of AI the client needs and work through the planning together.
Demo production: We build a demo that lets the client verify the performance of the customized AI.
Feedback and performance improvement: We improve the AI's performance to the level the client wants based on their feedback.
Production readiness: We integrate the developed AI algorithm into the actual service at the software level and deliver it.
Post-launch management: We provide post-launch management and maintenance for the client's AI service, including updating to new models and responding when issues arise.
Of these, the second step—AI consulting—can be called the heart of the entire process. In the AI consulting stage, we analyze the company's business processes from A to Z, identify the real bottlenecks, and present technical and planning-level solutions for how AI can resolve them.
What makes Dalpha's AI consulting different?
1) We propose 'must-have' AI solutions through three types of analysis.
We propose the 'must-have' AI solutions a client genuinely needs. Rather than simply applying the latest AI technology to a company, Dalpha begins its consulting by analyzing the company's needs from the following three perspectives.
Workflow analysis: We examine the workflow in fine detail and pinpoint the most inefficient parts.
Business bottleneck analysis: We identify the biggest bottlenecks across the company's entire process.
Data utilization analysis: We analyze data the company holds but isn't properly using.
We then make concrete proposals on a) whether the problems uncovered through this analysis can be solved with AI, and b) if so, what approach to take.
AI Consulting Case Study with Manufacturer A
My recent AI consulting experience with Company A illustrates how we propose 'must-have' AI solutions.
The situation
Company A was interested in adopting AI company-wide, but had no idea at all what kind of AI to use. So as their AI consultant, I started by taking the company's workflow apart piece by piece to analyze where the most inefficiency began.
Workflow analysis
Company A's work process consisted of the following stages: 'product design → material procurement → manufacturing and assembly → quality control and inspection → packaging and logistics → sales.'
In the initial analysis, I found that the most manual work was happening in the manufacturing and assembly and the quality control and inspection stages. However, I judged these to be areas that essentially require staff with specialized manufacturing knowledge and hardware. So rather than having AI replace that work, I began digging back into the manual tasks that the existing specialists were doing one by one outside of that work.
Business bottleneck analysis
The analysis showed that an enormous amount of time and money was being spent on communication with raw-material suppliers during material procurement. In particular, the process of handling offline purchase orders—where 15 employees entered data manually—acted as a major bottleneckthat was holding things up.
Data utilization analysis
To solve this problem, Dalpha developed an AI solution that, when a purchase order is scanned and uploaded to an internal program, automatically extracts the needed information and loads it into the system.
The result
We achieved the remarkable result of reducing manual work by a full 75%.
Key Learning
Had we, in this situation, tried to blindly provide a particular solution without first understanding the problems the company was facing, we likely would have ended up driving an ineffective adoption without ever properly grasping the company's core issues.
2) We propose AI solutions built solely for your company.
Another point of differentiation is that we provide solutions perfectly tailored to each company. Even companies in similar industries have vastly different ways of doing business and different needs. Dalpha understands each company's particular characteristics precisely and proposes a custom AI solution that fits.
AI Consulting Case Study with F&B Commerce Company B
The consulting case we provided for F&B commerce company B clearly shows the importance of this customization.
The situation
The area Company B had recently been focusing on most was 'customer retention,' and to maintain and manage that retention, most of their internal staff were focused on 'improving the customer's search experience.' That's because they judged the accuracy of search results to be the key factor in preventing customer churn.
Workflow analysis
To do this, their internal MDs were manually setting tag values for each product, and what stood out was that they had set up the tags so that searching for a specific product would also surface that product's raw ingredients and complementary items.
For example, when a customer searched for 'shabu-shabu,' raw ingredients like cabbage, beef, and mushrooms, as well as complementary items like kalguksu noodles and dipping sauces that go well with it, would also appear in the search results. Beyond simply preventing churn caused by failed searches, this was a strategy to raise the average order value by driving the purchase of other products.
Customization needs analysis
I grasped this special need unique to Company B and approached, from a planning standpoint, how Dalpha's existing AI search engine could be enhanced so that searches for raw ingredients and complementary items would also be reflected in the results.
Data utilization analysis
After ample discussion with our internal AI engineers, we reached the conclusion that the algorithm could certainly be developed if the content present on product detail pages were reflected as data in the search results—and we went ahead with the actual project.
The result
We achieved the business outcome of catching two birds with one stone: the customer churn rate dropped by 50% and overall revenue rose by 20%.
Key Learning
Had we introduced a generic AI search engine without considering Company B's particular needs, we never would have achieved these results.
Is AI consulting really necessary?
Of course, some clients may already understand on their own what kind of AI solution they need. But Dalpha's AI consulting can present even more effective solutions, backed by the high-level AI and software expertise of a consulting team with over 1,500 consulting engagements under its belt. Having experts review and set the direction is far more efficient and delivers more reliable results than agonizing over it internally.
AI is now becoming a necessity rather than a choice. But it's important not to adopt AI blindly—rather, to find the solution your company truly needs through expert consulting. If you'd like Dalpha's AI consulting, please get in touch via the inquiry button below.
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Yongchan Park
