AGENT / 01
DEMAND INTELLIGENCE
Demand intelligence
Read sales trends and market signals together to anticipate what people will need, and how much.
Demand planning / Change detection
THE NEXT INTELLIGENCE IN COMMERCEA NEW CHAPTER. 001
too1s
Rewriting distribution.
With AI.
From the source to everyday life.
We use Claude LLM and AI agents to rethink distribution and the way people choose.
LESS WASTE. MORE POSSIBILITY.SCROLL TO EXPLORE
AI FIRST.AGENT DRIVEN.HUMAN CENTERED.AI at the core. People at the center.
BUILT FOR EVERYDAY LIFE
Built through everyday use.
Cumulative figures across our services
- Total users
- 50,000 or more users
- Total downloads
- 50,000 or more downloads
01 / OUR VISION
Less waste. Better choices.Good products, where they are needed.
Better choices, for everyone.
We believe commerce can do more.
AI helps us get there.
Stock sits idle in one place while a needed product is missing in another. Sellers struggle to anticipate demand. Customers spend time sorting through too many choices.
At too1s, we look at the whole picture. We use Claude LLM and AI agents across production, distribution, and purchasing to build a future with less waste across commerce.
ONE CONNECTED VISION
- Production
- Distribution
- Purchasing
02 / AGENT-POWERED COMMERCE
The AI we are buildingBeyond a single model.
Agents working together.
We use Claude LLM to understand context and AI agents to work through problems together.
AI is part of every step we design for commerce.
AGENT / 02
AUTONOMOUS OPERATIONS
Distribution intelligence
Consider inventory, purchasing, and logistics together so the right products reach the right places.
Stock placement / Purchasing and logistics
AGENT / 03
INTENT-DRIVEN COMMERCE
Choice intelligence
Understand the intent behind a search. Consider price, preferences, and context to help people make better choices.
Intent understanding / Product discovery
CLAUDE AT WORK
Claude LLM,
Put to work.
Read information. Clarify requirements. Draft the next step.
We use Anthropic's Claude LLM in our work and product development.
- 01
Product information
We use Claude LLM to extract brands, options, intended uses, and precautions from scattered descriptions and organize them into a consistent format.
Descriptions, options, and instructionsStructured product facts and comparisons - 02
Customer intent
We use Claude LLM to understand a customer's budget, purpose, and deadline, then turn that request into criteria for comparing products.
A request in everyday languageBudget, purpose, and timing requirements - 03
Content drafting and review
We use Claude LLM to summarize sources and draft product copy, FAQs, and video scripts. It also helps review wording and identify missing information.
Sources, product facts, and production notesProduct copy, FAQs, and draft scripts - 04
Distribution planning
We use Claude LLM to break operational requests into tasks and organize checks and priorities. Inventory transfers and purchasing proposals are reviewed by the person responsible.
Sales, inventory, and operational requestsChecklists, priorities, and proposed actions
03 / INTELLIGENCE IN ACTION
Technology applied to real problemsComplex problems.
How can AI work together?
From demand to a purchasing decision.
Explore our approach through three scenarios.
DEMAND SIGNAL
Orders surge. What should change first?
Orders are rising before our weekend promotion. Help us reduce the risk of stockouts.
Detect changePropose orders and transfers
HOW AGENTS COLLABORATE03 AGENTS
- Demand Agent01
Read demand
Review sales trends and promotion schedules to understand changing demand.
- Inventory Agent02
Check inventory
Compare stock levels and expected arrivals to find locations at risk of a shortage.
- Action Agent03
Propose an action
Prepare transfer and purchasing proposals for the operations team to review.
HUMAN IN THE LOOP
Review a plan to move stock to locations where a shortage is expected.
An illustration of the approach we are developing. This demonstration does not make live AI calls or place orders.
04 / BUILT WITH INTENTION
AI at the core.
People at the center.
AI shapes how we build.
We design commerce around intelligent collaboration.
- 01
Understand context with Claude LLM.
We use Anthropic's Claude LLM to interpret product information, orders, and customer language. Context that numbers alone miss becomes part of a better decision.
- 02
AI agents work together.
Agents for demand, inventory, logistics, and purchasing work toward a shared goal. Each decision is designed to reduce waste across the whole journey.
- 03
People stay in charge.
People review the evidence behind proposals and set the limits and approval rules for action. We learn from the results to improve the next decision.
05 / IDEAS, BUILT INTO REALITY
Build. Release. Improve.A bigger vision,
built on real work.
From everyday inconveniences to AI-assisted production.
Our products and tools help us find what comes next.
Wordmark SRT Studio
From a single idea to a finished film.
In developmentYakunavi
Understand the product before you choose.
In developmentPlantypia
Better plant care starts with a photo.
In developmentALREADY IN EVERYDAY LIFE
11 apps for everyday life.
Helping people find, choose, and save time.
Explore published apps27 projects in all. Each case study explains its features and current stage, from published apps to ongoing development and research.
A LITTLE MORE CLARITY
A little more
clarity.
What does the company do?
too1s is an AI commerce startup using Claude LLM and AI agents to tackle distribution and purchasing challenges together. Our vision brings demand planning, inventory, logistics, and product discovery into one connected journey.
Which LLM do you use?
We use Anthropic's Claude LLM to structure product descriptions and turn customer requests into requirements such as budget, purpose, and timing. We also use it to draft product copy, FAQs, and video scripts, and to organize operational checks and proposals from sales and inventory information. Each portfolio case study lists the technologies used in that project.
What makes an AI agent different?
An agent goes beyond answering a question. It is designed to gather relevant information, break a goal into tasks, and collaborate with other agents. Human review and approval rules remain part of the process.
Can I use your products today?
Our portfolio includes apps available on Google Play and AI projects in development. The commerce-agent examples above are simulations illustrating our approach. Each case study explains the product's current features and where it can be accessed.
Who would you like to work with?
We want to work with brands and distributors tackling inventory challenges, commerce teams helping customers choose better, and technology partners bringing AI into real operations.
Explore partnershipsTHE NEXT CHAPTER, TOGETHER.
The next chapter of commerce.
Let's build it together.
Better distribution. Better choices.
Join us in making that change with AI.