Turn curious clicks into compliant sales, automatically.
Bud-e greets every visitor like a trained budtender, learns what they want (effects, form, timing), checks age/state rules, pulls live inventory, and recommends products that actually move. All logged to GA4, BigQuery, and your CRM.
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The Pain → The Promise (Segment Mini-Grid)
Single-Location
Staff can’t chat online + help in-store; product confusion; no list capture
Conversational guide + “10% welcome” email capture; effect-first recs; BOPIS prompts tied to live menu
Multi-Location
Inconsistent answers; stock varies; promo conflict
Conversational guide + “10% welcome” email capture; effect-first recs; BOPIS prompts tied to live menu
MSO
Hard to prove assisted revenue, compliance risk, and slow rollouts
GA4 hit dispatcher + persona tags; 56-state compliance engine; variant rollout by market
DTC Online-Only
High bounce; education burden; checkout fragmentation
Plain-English guidance; partner/market routing; newsletter/SMS growth with consent
DTC + Storefront
Channel silos; low AOV; missed restocks
Bundle suggestions; BOPIS/Delivery switching; reorder nudges from POS history
Non-DTC Brand
“Where to buy?” dead-end; no first-party data
Nearest-store/market links; co-branded promos; compliant email capture for your CRM
See It in Action
(90-Second Feature Strip)
projectsWhy Teams Choose Bud-e (Benefit-Led)
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Projects
Understand intent, like your best budtender
Understand intent, like your best budtenderThe inputs are multiplied by their respective weights, summed up.Explore more

SmartTrader: Predictive Stock Market Analysis using Neural Networks
SmartTrader: Predictive Stock Market Analysis using Neural NetworksThe inputs are multiplied by their respective weights, summed up.Explore more

NeuraForge: Crafting Future-Ready AI Solutions for Industry Innovation
NeuraForge: Crafting Future-Ready AI Solutions for Industry InnovationThe inputs are multiplied by their respective weights, summed up.Explore more

Pull the live menu, automatically
Pull the live menu, automaticallyThe inputs are multiplied by their respective weights, summed up.Explore more

Recommend & convert, without the hard sell
Recommend & convert, without the hard sellThe inputs are multiplied by their respective weights, summed up.Explore more

Capture + attribute; cleanly
Capture + attribute; cleanlyThe inputs are multiplied by their respective weights, summed up.Explore more

DeepVision
DeepVisionThe inputs are multiplied by their respective weights, summed up.Explore more

DeepVision
DeepVisionThe inputs are multiplied by their respective weights, summed up.Explore more

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How Bud-e Works (Simple 4-Step Flow)
01
Neurons and Layers
A neural network consists of interconnected nodes called neurons. Neurons are organized into layers.
02
Activation Function
Each neuron applies an activation function to the weighted sum of its inputs and produces an output
03
Feedforward Process
The inputs are multiplied by their respective weights, summed up, and passed through the activation function.
04
Activation Function
The inputs are multiplied by their respective weights, summed up, and passed through the activation function.

Tinker with a Neural Network right here in your browser. Don’t worry, you can’t break it. We Promise.




aboutWOW! Meet the next evolution of neural networks
Artificial Intelligence refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves the creation of algorithms and models that enable machines to learn, reason, perceive, and make decisions.
There are generally two types of AI: Narrow or Weak AI, which is designed to perform specific tasks, and General or Strong AI, which possesses human-level intelligence and can handle a wide range of tasks. AI strategies that drive innovation, optimize processes, and unlock new opportunities for growth..
- Hyper-personalized recommendations
- AI-driven ad targeting & optimization
- Sentiment & trend analysis

Seamless integration with existing systems and platforms& Scalable and flexible architecture


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faqEverything you need
to know about
What is Artificial Intelligence?
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
How does Machine Learning relate to Artificial Intelligence?
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Is Artificial Intelligence replacing human jobs?
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
What are the different types of Artificial Intelligence?
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
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Integrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly.
Training and workshops
Custom design and development of neural network architectures tailored to specific business needs and objectives.
Modern development
Building and training deep neural networks for tasks such as image recognition, natural language processing, speech recognition, and anomaly detection.
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blogExploring the world of artificial intelligence with Aiero blogging
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