Customer Use Cases
In 1994, a small startup with just a handful of employees went up against the retail giants of the world. At the time, bookstores were dominated by chains like Barnes & Noble and Borders, which had deep pockets, nationwide reach, and decades of brand recognition. The startup had none of that. But what it did have was a smarter way to sell books—online, without the overhead of massive real estate, and with a business model that scaled infinitely.
That company was Amazon
Instead of competing with the giants on their terms, Amazon changed the rules of the game entirely. The big bookstores doubled down on their physical locations, believing that customer experience was tied to in-person shopping. Amazon bet that data, personalization, and AI-driven recommendations would redefine how people discovered and bought books.
The result? Borders is gone, Barnes & Noble is struggling, and Amazon went from selling books to being the most powerful e-commerce company in the world.
The lesson?
Technology is a multiplier, not a gatekeeper. You don’t need the deepest pockets. You need the right tools and the right thinking. AI is no longer reserved for the elite. It’s a weapon for the fast, the nimble, the scrappy.
PLUG Labs helps businesses outthink, outmaneuver, and outsmart their larger competitors.
If you’re a business that wants to punch above its weight, let’s talk. Remember giants are slow. The future belongs to those who move fast.
The smart move? Start now.
Recent AI Powered Customer Use Cases
Real Estate Company Case Study
AI-Powered Real Estate—More Sales, Less Effort
A boutique real estate agency, was struggling to keep up with larger competitors who had teams dedicated to lead nurturing, market research, and client follow-ups. They couldn’t afford an in-house data science team or a marketing department the size of Zillow’s, but they could use AI to level the playing field.
So they worked with PLUG labs to identify a high ROI use case which created an integrated AI-powered lead qualification and engagement system that:
✅ Scored and prioritized leads based on likelihood to buy or sell
✅ Sent personalized property recommendations to potential buyers based on their search behavior
✅ Automated follow-ups to keep prospects engaged
The result? A 42% increase in closed deals and 60% fewer wasted hours chasing unqualified leads. Their competitors relied on brute force, they used AI to target the right customers at the right time, every time.
Customer Roadmap Deliverable ➡️
Law Firm Case Study
AI-Powered Client Intake—A Law Firm’s Secret Weapon
Now let’s talk about a boutique law firm competing with national firms that had teams of paralegals handling client intake. The problem? The manual process of collecting client details, verifying documents, and qualifying cases was taking hours per client—wasting valuable billable time.
PLUG Labs built them an AI-driven intake assistant that:
✅ Pre-qualified potential clients based on case viability
✅ Automated document collection & verification
✅ Streamlined appointment scheduling with the right attorney
The result? 50% reduction in time spent on client onboarding, meaning their lawyers could focus on high-value work instead of admin. The big firms had armies of staff. They had AI.
Retailer Case Study
AI-Powered Budtender BOT—The Cannabis Dispensary Growth Engine
A growing cannabis retailer, had a challenge: educating customers on product selection without requiring every visitor to wait for a live budtender. With a wide selection of flower, edibles, tinctures, and concentrates, they knew they were missing massive cross-sell and up-sell opportunities simply because customers didn’t always know what to ask for.
PLUG Labs stepped in and built a Budtender BOT, an AI-powered virtual assistant that:
✅ Guided customers through product selection based on their experience level, desired effects, and consumption preferences
✅ Recommended complementary products (e.g., suggesting a sleep tincture with an indica strain purchase)
✅ Upsold premium and high-margin items based on real-time sales data
✅ Answered common regulatory and dosage questions, freeing up staff to handle high-touch customer interactions
The result? A 38% increase in average order value (AOV), a 50% increase in cross-sells, and a 24% reduction in wait times.
While other dispensaries relied on overworked budtenders and hit-or-miss customer recommendations, they used AI to scale expert-level customer guidance 24/7.