Why does food tracked with blockchain sell better? 8 uses of blockchain in the food industry

Julia

26 Sep 2019
Why does food tracked with blockchain sell better? 8 uses of blockchain in the food industry

The next time you put some lettuce in your basket, you might be able to find out exactly where it came from using blockchain technology. All the information will be out in the open – whether or not it was washed or the date it was picked up by the store. A waste of time? If that were the case, companies that use this kind of tracking for food would not see an increase in sales.

If you were given the choice between two different types of lettuce, one that was tracked with blockchain and one that has a regular tag, I can almost guarantee that after reading this article you will choose the former. Before your client does something similar, use this opportunity to take advantage of this knowledge. There are 8 reasons why food sold with the help of blockchain tastes better.

Blockchain in stores, restaurants, and hospitality establishments

The blockchain is a dispersed database in which the input data is immutable. This is possible because the data is stored in the form of blocks set up next to one another. Each new piece of information is a new block, connected to the previous blocks in such a way that block “B” always contains the time of creation and an encrypted summary of the previous element, block “A”. Simply put, it is a chain of blocks (hence “blockchain”), in which the data is impossible to falsify or modify.

The food industry uses the advantages of blockchain to track and save the “life-cycle” of the food items, and the automation of cumbersome processes. Together with the maturing of this technology, blockchain stops being associated exclusively with Bitcoin. We can, however, establish a certain analogy – an electronic currency is the answer to a reduction in trust towards financial institutions. Now, huge chains of stores and restaurants, as well as the smaller companies, can use blockchain to prove that they deserve trust from the public.

Blockchain is a safe chain of blocks - food industry (Nextrope)

Transparency is vital to earn from clients

In Poland, a lack of trust towards the food industry grew after the scandal in Masovia. It was a winter evening earlier this year when the television station TVN ran a report revealing how dangerous the practices in slaughterhouses are for the health of consumers. The journalistic investigation soon shook the rest of Europe – companies illegally purchased sick cows for slaughter, despite going against health and hygiene regulations. Furthermore, a journalist hired in one of those companies found out that the workers themselves, not a licensed veterinarian, confirmed the cows to be fit for consumption. In the meantime, products from these suspected companies were being sold in stores, and the authorities tried to locate them using… company invoices.

Incidents like this are difficult to forget. Already, 8 out of 10 consumers check where their food is coming from before buying it (Elementar UK). Customers often end up not buying a product if they suspect that it has been infused with antibiotics or contributed to the production of a significant amount of waste. How can we reassure customers? The data needs to be reliable, thorough, and easily accessible. In a system based on the blockchain, a copy of the database is available for everyone who joins the chain to see (for example a customer scanning a code). There does not need to be any trust for middlemen or even the store that created the system – the data is impossible to manipulate.

A chain of blocks – a chicken example

On the website of the supermarket chain Lidl, I keep coming across these instructions: information about the product can be found on the back of the package. Upon removing a pack chicken legs from the freezer and checking the back of the package, I see the ingredients, recommended storage conditions, the expiry date, a list of allergens, and the name of the company (but not the name of the farm). 

If those same chicken legs were in a system based on the blockchain, I would start by scanning a QR code. I would then learn that the chicken was born on the 26th April at a large farm in Turkey, during its first day alive, it was vaccinated against five illnesses; the animal ate non-GMO food with known ingredients. The chicken was sent to the slaughterhouse on the 7th July at a weight of 2.44 kg, where the veterinarian confirmed that it was not given any antibiotics, and the company confirmed the legitimacy of the quality check. A few kilometres further away, a Lidl warehouse picked up the chicken legs from a truck and directed them to the particular store, in which I do my shopping every Friday. At least that is how I imagine this to work, because to receive all this information, the store would need to go to a significant effort to collect evidence from all its partners.

Preventing poisoning means preserving reputations

Proof of identity, according to customers’ demands, was trialled by Carrefour. It took 15 days for the supermarket chain to collect all the proofs in all the formats – including on paper. After introducing a system of control over the the import on the blockchain, over two weeks of reading the data was reduced to just over two seconds. The information was generated in simple tables and maps because they were in the system from the very beginning.

If the products were not fit for consumption, it would be possible to track those products using conventional methods, but experts admit that by the time this happened, everyone would already be ill. The products keep coming, the chain of distribution becomes increasingly complex, and stores promise top quality food. In the case of recalling certain items, the stores hit the headlines and the distributor rarely takes the brunt of the responsibility. Following several cases of food poisoning at Chipotle Mexican Grill, the restaurant’s shares dropped by 45% and their sales by 37%. A well-built system warns of any faulty items before anyone even reports their first symptoms (and before it hits the internet). The item never reaches the supermarket shelf. 

It can be said that business is business, but in the case of illness it is much more than that: protection of human health and lives.

Guarantees ensure a feeling of safety

If you can vouch for something personally, you become more trustworthy in the eyes of the clients. Naturally, that equates to the trust these customers give you, and the choices they make.

A famous trick used by KFC to increase sales, that is ‘today, the chickens delivered by Adam,’ is possible to apply in large stores for the first time, because you can write that the yogurt on the shelf was made by grandma. But the consumer needs proof, and that proof comes in the form of using the name of a man who is so sure of the quality of his products that he does not hesitate to place his signature on the package. It is enough for the employee to confirm his identity at the production stage for which he is responsible. At the same time, it is in no way reminiscent of celebrity clichés bought. We know that the slogan ‘recommended by Gordon Ramsay’ is printed on packaging in bulk and guarantees ... effectively nothing.

Good advertising stands out

Certificates are becoming an increasingly vital part of the marketing strategy. Gone are the days when consumers were indifferent to the actions of enterprises for sustainable development or how they care for the environment. The best evidence for this is the "Fairtrade" labeling that has tripled the sales of Milka and Dairy Milk chocolates.

Food products with a certificate of quality are usually more expensive than their counterparts that do not have these certificates. On the other hand, the lack of clear directives in the European Union leads to situations where the "eco-carrot" differs from the regular carrot by its positioning on the shelf. Blockchain can convince customers that this might be the case everywhere else, but not at your store.

Registration of certificates in this chain of blocks allows for quick and easy verification of authenticity and validity of granted certificates. Since September 2017, all new or updated certificates in Poland have a QR code that can be read using a smartphone. The system performs verification, and it takes just a second to know everything about the veracity of the declaration, its conditions and the dates between which it applies. It is easy to forget how much effort was needed to get some of this data.

Convenience as an incentive

Simple to use for both the company and the user, QR codes do not require double-checking by the employee or manually entering the data. The customer needs only to scan the product to see its certificates and all of its history. The customer may not know that the technology that enables him to shop more healthily than previously is called blockchain. At Nextrope, however, we are observing growing public awareness of the blockchain and its capabilities.

In the case of mobile applications, we consider the UX (User Experience) elements to be key, which is associated with UI (User Interface). The first time an app is launched is usually not the last – that is why investing in the system is not everything that matters. Note that customers will use the smartphone with one hand, maneuvering between successive alleys. The way from the farm to the plate is a lot of information - there is no time or space to list it all, but when condensed into something more accessible, too much is omitted, unless the scanner catches the QR code. The application must be simple and accessible, and only then will the user return to it with pleasure.

Scanning a QR code by phone - food industry and blockchain - Nextrope

Regular habits as an advantage over competitors

Soon shopping, especially in the department of healthy food, will start to feel strange without scanning QR codes. Carrefour is the first network to develop a habit of inquiry, and a very powerful network at that. Consumers used to this network will pick up items in other stores in search of the black and white code. Since these other stores have not decided to introduce QR codes, customers will be justified in their anxiety that the store is hiding something - because why else would it not share its data?

Freshness equates to the customer satisfaction 

Shops with pseudo-health food are a scourge. Even if the food is healthy, its storage leaves much to be desired, for example olive oil exposed to the sun for too long simply loses its properties. In this case, when preparing meals, it is better not to think for too long whether or not adding olive oil to the salad salad on it makes any sense health-wise.

The supply chain is worth integrating with the data stored on the products themselves (in the form of a bar code or QR code), as well as commonly used sensors (such as RFID). The process starts on the production line, where sensors alert the producer about any irregularities and record the general condition of the goods. Measurements can be taken all the way up to the time of purchase. Based on this data it is easy to estimate when any potential corruption will occur and, in the spirit of Zero Waste, prevent it in the future. Notifications draw the seller’s attention to bad carrots before the customer finds them on the shelf. Several departments further, a parent who scans the code on a package of baby milk checks to see if anyone has already opened it. Demand for goods can be seen on a map. Our problem is not the amount of food, in fact we have too much of it; rather, the problem is its quality.

Trust is profit

The association of a brand with good quality food attracts health-conscious customers like a magnet. Compared to its competition, a store that provides insight into production using blockchain technology inspires more confidence. When Lidl started introducing individual fit products or occasional health weeks, they did so knowing fully well about the halo effect. This trust can be extended further – knowing that these products are perfectly fine to consume, it is also worth for the customer to buy butter, kefir, and flip flops.

But customers will not only reach for more products, they will also be able to spend a lot more money on them; indeed, 72% of millennials are ready to pay extra for food with a positive impact on the environment.

Blockchain technology can, with equal effectiveness, increase prices in restaurants. On the one hand, a customer can buy regular wine, on the other hand, the customer can also buy wine from a sunny, family winery in Italy, where the grapes were left on the bush for longer and were additionally macerated, i.e. putting the grape skins in contact with freshly squeezed juice to soften them. Following fermentation, the wine matures in an oak barrel arranged in a quiet cellar for 2 years, and only then does the host pour them into the bottle that the customer purchases. Ultimately, good storytelling sells.

Nestlé and blockchain

Nestlé's efforts to prove to parents worldwide that their Gerber soups and dinners deserve trust from consumers are suitable for a separate entry. The corporation, among others, advertised that meals for children must meet 500 times more stringent standards than those for adults. At last, the maiden project with solid blockchain foundations was launched.

People want to know, quite rightly, where ingredients they give to their baby have come from. We wanted a product in which trust means something.

- Chris Tyas, Nestlé's supply chain director

At the time of writing this article, the company convinces customers of this by promoting the addition of three types of vegetables and fruit in one meal: puree from sweet potato, apple and pumpkin. Impatient parents are waiting for test results, and if Gerber actually introduces new technology, it may dominate the sale of these baby foods.

Is this a good time to introduce blockchain to a company?

Please verify whether or not I can give this to a two-year-old.

Hi, I wonder if these flakes are really organic, or if this is just marketing again ...

Does anyone know anything about this farm and its composition analysis. I try to eat healthy, should I order their food?

If eating dilemmas were not such a huge part of our everyday life, countless queries of this type would not appear in online forums about healthy lifestyles. Increasingly aware consumers do not fall easily for the packaging with a green leaf on it. We can safely say that until now, the only thing that has kept us from tracking the supply chain was the enormous amount of work that would have to be put into collecting data from incompatible IT systems.

You do not have to look far: when introducing blockchain to a company, it is worth choosing products that we are proud of and that adequately represent the company – picking just one is enough. Walmart started with mangoes, Auchan with carrots, and Carrefour with chicken, and not even a year went by when the networks had to take their initial plans into account - the sale of "blocked" products exceeded all expectations.

According to the new plan of the French network, by the end of the year customers will be able to scan 100 new products, and in three years all the products that belong to the quality brand. It is rare to see such enthusiasm from a supermarket chain – Carrefour boasts of the "halo effect" and announces that tracking the supply chain with blockchain will expand with clothes. Hopefully they will be true to their word.

The food industry can sell better

Shops, restaurants and farms that implement blockchain to track the supply chain are seeing a significant increase in sales, which is nothing unexpected. In the wake of further scandals and food fraud, disclosing the history of selected products is the best way to win the trust of your customers and to make consumers happy with their purchasing decisions. Customers transfer high-quality associations to all products in the range or menu.

To increase the convenience and pleasure in shopping for users, it is worth investing heavily into mobile applications. Blockchain technology in the food industry has even greater potential in combination with AI (Artificial Intelligence), with buyers always getting fresh food, and the company avoiding a loss in reputation when recalling goods.

Consumers want to be more and more aware of what they are eating, and their food quality requirements are increasing. Furthermore, major brands have already begun to introduce customers to scanning QR codes before purchasing items.

So, which lettuce are you going for?

Julia Wolińska

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Applying Game Theory in Token Design

Kajetan Olas

16 Apr 2024
Applying Game Theory in Token Design

Blockchain technology allows for aligning incentives among network participants by rewarding desired behaviors with tokens.
But there is more to it than simply fostering cooperation. Game theory allows for designing incentive-machines that can't be turned-off and resemble artificial life.

Emergent Optimization

Game theory provides a robust framework for analyzing strategic interactions with mathematical models, which is particularly useful in blockchain environments where multiple stakeholders interact within a set of predefined rules. By applying this framework to token systems, developers can design systems that influence the emergent behaviors of network participants. This ensures the stability and effectiveness of the ecosystem.

Bonding Curves

Bonding curves are tool used in token design to manage the relationship between price and token supply predictably. Essentially, a bonding curve is a mathematical curve that defines the price of a token based on its supply. The more tokens that are bought, the higher the price climbs, and vice versa. This model incentivizes early adoption and can help stabilize a token’s economy over time.

For example, a bonding curve could be designed to slow down price increases after certain milestones are reached, thus preventing speculative bubbles and encouraging steadier, more organic growth.

The Case of Bitcoin

Bitcoin’s design incorporates game theory, most notably through its consensus mechanism of proof-of-work (PoW). Its reward function optimizes for security (hashrate) by optimizing for maximum electricity usage. Therefore, optimizing for its legitimate goal of being secure also inadvertently optimizes for corrupting natural environment. Another emergent outcome of PoW is the creation of mining pools, that increase centralization.

The Paperclip Maximizer and the dangers of blockchain economy

What’s the connection between AI from the story and decentralized economies? Blockchain-based incentive systems also can’t be turned off. This means that if we design an incentive system that optimizes towards a wrong objective, we might be unable to change it. Bitcoin critics argue that the PoW consensus mechanism optimizes toward destroying planet Earth.

Layer 2 Solutions

Layer 2 solutions are built on the understanding that the security provided by this core kernel of certainty can be used as an anchor. This anchor then supports additional economic mechanisms that operate off the blockchain, extending the utility of public blockchains like Ethereum. These mechanisms include state channels, sidechains, or plasma, each offering a way to conduct transactions off-chain while still being able to refer back to the anchored security of the main chain if necessary.

Conceptual Example of State Channels

State channels allow participants to perform numerous transactions off-chain, with the blockchain serving as a backstop in case of disputes or malfeasance.

Consider two players, Alice and Bob, who want to play a game of tic-tac-toe with stakes in Ethereum. The naive approach would be to interact directly with a smart contract for every move, which would be slow and costly. Instead, they can use a state channel for their game.

  1. Opening the Channel: They start by deploying a "Judge" smart contract on Ethereum, which holds the 1 ETH wager. The contract knows the rules of the game and the identities of the players.
  2. Playing the Game: Alice and Bob play the game off-chain by signing each move as transactions, which are exchanged directly between them but not broadcast to the blockchain. Each transaction includes a nonce to ensure moves are kept in order.
  3. Closing the Channel: When the game ends, the final state (i.e., the sequence of moves) is sent to the Judge contract, which pays out the wager to the winner after confirming both parties agree on the outcome.

A threat stronger than the execution

If Bob tries to cheat by submitting an old state where he was winning, Alice can challenge this during a dispute period by submitting a newer signed state. The Judge contract can verify the authenticity and order of these states due to the nonces, ensuring the integrity of the game. Thus, the mere threat of execution (submitting the state to the blockchain and having the fraud exposed) secures the off-chain interactions.

Game Theory in Practice

Understanding the application of game theory within blockchain and token ecosystems requires a structured approach to analyzing how stakeholders interact, defining possible actions they can take, and understanding the causal relationships within the system. This structured analysis helps in creating effective strategies that ensure the system operates as intended.

Stakeholder Analysis

Identifying Stakeholders

The first step in applying game theory effectively is identifying all relevant stakeholders within the ecosystem. This includes direct participants such as users, miners, and developers but also external entities like regulators, potential attackers, and partner organizations. Understanding who the stakeholders are and what their interests and capabilities are is crucial for predicting how they might interact within the system.

Stakeholders in blockchain development for systems engineering

Assessing Incentives and Capabilities

Each stakeholder has different motivations and resources at their disposal. For instance, miners are motivated by block rewards and transaction fees, while users seek fast, secure, and cheap transactions. Clearly defining these incentives helps in predicting how changes to the system’s rules and parameters might influence their behaviors.

Defining Action Space

Possible Actions

The action space encompasses all possible decisions or strategies stakeholders can employ in response to the ecosystem's dynamics. For example, a miner might choose to increase computational power, a user might decide to hold or sell tokens, and a developer might propose changes to the protocol.

Artonomus, Github

Constraints and Opportunities

Understanding the constraints (such as economic costs, technological limitations, and regulatory frameworks) and opportunities (such as new technological advancements or changes in market demand) within which these actions take place is vital. This helps in modeling potential strategies stakeholders might adopt.

Artonomus, Github

Causal Relationships Diagram

Mapping Interactions

Creating a diagram that represents the causal relationships between different actions and outcomes within the ecosystem can illuminate how complex interactions unfold. This diagram helps in identifying which variables influence others and how they do so, making it easier to predict the outcomes of certain actions.

Artonomus, Github

Analyzing Impact

By examining the causal relationships, developers and system designers can identify critical leverage points where small changes could have significant impacts. This analysis is crucial for enhancing system stability and ensuring its efficiency.

Feedback Loops

Understanding feedback loops within a blockchain ecosystem is critical as they can significantly amplify or mitigate the effects of changes within the system. These loops can reinforce or counteract trends, leading to rapid growth or decline.

Reinforcing Loops

Reinforcing loops are feedback mechanisms that amplify the effects of a trend or action. For example, increased adoption of a blockchain platform can lead to more developers creating applications on it, which in turn leads to further adoption. This positive feedback loop can drive rapid growth and success.

Death Spiral

Conversely, a death spiral is a type of reinforcing loop that leads to negative outcomes. An example might be the increasing cost of transaction fees leading to decreased usage of the blockchain, which reduces the incentive for miners to secure the network, further decreasing system performance and user adoption. Identifying potential death spirals early is crucial for maintaining the ecosystem's health.

The Death Spiral: How Terra's Algorithmic Stablecoin Came Crashing Down
the-death-spiral-how-terras-algorithmic-stablecoin-came-crashing-down/, Forbes

Conclusion

The fundamental advantage of token-based systems is being able to reward desired behavior. To capitalize on that possibility, token engineers put careful attention into optimization and designing incentives for long-term growth.

FAQ

  1. What does game theory contribute to blockchain token design?
    • Game theory optimizes blockchain ecosystems by structuring incentives that reward desired behavior.
  2. How do bonding curves apply game theory to improve token economics?
    • Bonding curves set token pricing that adjusts with supply changes, strategically incentivizing early purchases and penalizing speculation.
  3. What benefits do Layer 2 solutions provide in the context of game theory?
    • Layer 2 solutions leverage game theory, by creating systems where the threat of reporting fraudulent behavior ensures honest participation.

Token Engineering Process

Kajetan Olas

13 Apr 2024
Token Engineering Process

Token Engineering is an emerging field that addresses the systematic design and engineering of blockchain-based tokens. It applies rigorous mathematical methods from the Complex Systems Engineering discipline to tokenomics design.

In this article, we will walk through the Token Engineering Process and break it down into three key stages. Discovery Phase, Design Phase, and Deployment Phase.

Discovery Phase of Token Engineering Process

The first stage of the token engineering process is the Discovery Phase. It focuses on constructing high-level business plans, defining objectives, and identifying problems to be solved. That phase is also the time when token engineers first define key stakeholders in the project.

Defining the Problem

This may seem counterintuitive. Why would we start with the problem when designing tokenomics? Shouldn’t we start with more down-to-earth matters like token supply? The answer is No. Tokens are a medium for creating and exchanging value within a project’s ecosystem. Since crypto projects draw their value from solving problems that can’t be solved through TradFi mechanisms, their tokenomics should reflect that. 

The industry standard, developed by McKinsey & Co. and adapted to token engineering purposes by Outlier Ventures, is structuring the problem through a logic tree, following MECE.
MECE stands for Mutually Exclusive, Collectively Exhaustive. Mutually Exclusive means that problems in the tree should not overlap. Collectively Exhaustive means that the tree should cover all issues.

In practice, the “Problem” should be replaced by a whole problem statement worksheet. The same will hold for some of the boxes.
A commonly used tool for designing these kinds of diagrams is the Miro whiteboard.

Identifying Stakeholders and Value Flows in Token Engineering

This part is about identifying all relevant actors in the ecosystem and how value flows between them. To illustrate what we mean let’s consider an example of NFT marketplace. In its case, relevant actors might be sellers, buyers, NFT creators, and a marketplace owner. Possible value flow when conducting a transaction might be: buyer gets rid of his tokens, seller gets some of them, marketplace owner gets some of them as fees, and NFT creators get some of them as royalties.

Incentive Mechanisms Canvas

The last part of what we consider to be in the Discovery Phase is filling the Incentive Mechanisms Canvas. After successfully identifying value flows in the previous stage, token engineers search for frictions to desired behaviors and point out the undesired behaviors. For example, friction to activity on an NFT marketplace might be respecting royalty fees by marketplace owners since it reduces value flowing to the seller.

source: https://www.canva.com/design/DAFDTNKsIJs/8Ky9EoJJI7p98qKLIu2XNw/view#7

Design Phase of Token Engineering Process

The second stage of the Token Engineering Process is the Design Phase in which you make use of high-level descriptions from the previous step to come up with a specific design of the project. This will include everything that can be usually found in crypto whitepapers (e.g. governance mechanisms, incentive mechanisms, token supply, etc). After finishing the design, token engineers should represent the whole value flow and transactional logic on detailed visual diagrams. These diagrams will be a basis for creating mathematical models in the Deployment Phase. 

Token Engineering Artonomous Design Diagram
Artonomous design diagram, source: Artonomous GitHub

Objective Function

Every crypto project has some objective. The objective can consist of many goals, such as decentralization or token price. The objective function is a mathematical function assigning weights to different factors that influence the main objective in the order of their importance. This function will be a reference for machine learning algorithms in the next steps. They will try to find quantitative parameters (e.g. network fees) that maximize the output of this function.
Modified Metcalfe’s Law can serve as an inspiration during that step. It’s a framework for valuing crypto projects, but we believe that after adjustments it can also be used in this context.

Deployment Phase of Token Engineering Process

The Deployment Phase is final, but also the most demanding step in the process. It involves the implementation of machine learning algorithms that test our assumptions and optimize quantitative parameters. Token Engineering draws from Nassim Taleb’s concept of Antifragility and extensively uses feedback loops to make a system that gains from arising shocks.

Agent-based Modelling 

In agent-based modeling, we describe a set of behaviors and goals displayed by each agent participating in the system (this is why previous steps focused so much on describing stakeholders). Each agent is controlled by an autonomous AI and continuously optimizes his strategy. He learns from his experience and can mimic the behavior of other agents if he finds it effective (Reinforced Learning). This approach allows for mimicking real users, who adapt their strategies with time. An example adaptive agent would be a cryptocurrency trader, who changes his trading strategy in response to experiencing a loss of money.

Monte Carlo Simulations

Token Engineers use the Monte Carlo method to simulate the consequences of various possible interactions while taking into account the probability of their occurrence. By running a large number of simulations it’s possible to stress-test the project in multiple scenarios and identify emergent risks.

Testnet Deployment

If possible, it's highly beneficial for projects to extend the testing phase even further by letting real users use the network. Idea is the same as in agent-based testing - continuous optimization based on provided metrics. Furthermore, in case the project considers airdropping its tokens, giving them to early users is a great strategy. Even though part of the activity will be disingenuine and airdrop-oriented, such strategy still works better than most.

Time Duration

Token engineering process may take from as little as 2 weeks to as much as 5 months. It depends on the project category (Layer 1 protocol will require more time, than a simple DApp), and security requirements. For example, a bank issuing its digital token will have a very low risk tolerance.

Required Skills for Token Engineering

Token engineering is a multidisciplinary field and requires a great amount of specialized knowledge. Key knowledge areas are:

  • Systems Engineering
  • Machine Learning
  • Market Research
  • Capital Markets
  • Current trends in Web3
  • Blockchain Engineering
  • Statistics

Summary

The token engineering process consists of 3 steps: Discovery Phase, Design Phase, and Deployment Phase. It’s utilized mostly by established blockchain projects, and financial institutions like the International Monetary Fund. Even though it’s a very resource-consuming process, we believe it’s worth it. Projects that went through scrupulous design and testing before launch are much more likely to receive VC funding and be in the 10% of crypto projects that survive the bear market. Going through that process also has a symbolic meaning - it shows that the project is long-term oriented.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

FAQ

What does token engineering process look like?

  • Token engineering process is conducted in a 3-step methodical fashion. This includes Discovery Phase, Design Phase, and Deployment Phase. Each of these stages should be tailored to the specific needs of a project.

Is token engineering meant only for big projects?

  • We recommend that even small projects go through a simplified design and optimization process. This increases community's trust and makes sure that the tokenomics doesn't have any obvious flaws.

How long does the token engineering process take?

  • It depends on the project and may range from 2 weeks to 5 months.