Fashion blockchain company

Fashion has problems with fakes, hidden labour and waste. A shared digital record can tie a garment to its origin, owner history and repair record.

• List buyer worries: fake goods, unknown origin, resale value, repair history.
• Choose one product: a bag, a jacket or a pair of shoes, and a first brand partner.
• Decide the record: material source, maker, date, size, care and each change of owner.
• Test the need with ten shoppers: would proof of origin change what you pay?
• Interview one repair shop and one resale seller to learn what proof of origin they need most and what they check today.
• Write the buyer's questions as a list (Is it real? Where was it made? Who owned it? Was it repaired?) and match each to a field in the record.
• Choose the first line by picking an item with a high price, frequent copying or a resale market, and count how many units exist.

Activity. Survey ten shoppers and one brand and write the problem in one page.

Standard to meet. Survey shows a real willingness to pay.

Fashion claims and labels are regulated, so check each rule before you launch.

• Federal textile labelling rules require fibre content to be shown in English and French; care labels are voluntary but any care claim must be true. Check the current rule for your product.
• Claims such as 'sustainable' or 'ethical' must be provable under competition law.
• Customer personal data is protected by privacy law and should not sit on a record that cannot be erased.
• Cross-border sales add customs, duty and product-safety rules.
• Check which country-of-origin wording you may use on a label, and keep supplier records that back it up.
• Ask a privacy adviser whether a tag linked to an owner needs consent and how a person can delete their data; collect only what is needed.
• List which claims go on the tag, the website and ads, and who approves each claim before it is published.

Activity. Build a rules table for one product line.

Standard to meet. Cite a source and a date for every row.

Keep the record small and useful.

• Attach a tag: QR code, NFC chip or hidden label that cannot be copied easily.
• Record business facts only: lot, maker, date, material, certificate numbers.
• Let owners add care and repair entries; a transfer is a new entry.
• Test the tag after washing, rubbing and sunlight.
• Test ten tags each for rubbing, folding, rain and sunlight, and tabulate scan success for each test.
• Choose where the tag sits: hidden, protected and easy to scan, and photograph the spot for the guide.
• Build a scan page that shows only business facts and a plain message if the tag is unknown or already used.

Activity. Prototype a passport for one garment and test the tag.

Standard to meet. Test results recorded.

Brands pay when the passport raises sales or cuts fakes.

• Charge the brand a fee per item tagged; the worked example below uses 1.80 per item.
• List the brand's gains: price premium, resale royalty, fewer fakes and better returns data.
• List your own costs: tags, hosting, support and onboarding.
• Work out break-even volume as fixed cost divided by margin per item.
• Estimate the price premium the brand can charge, and the share of it the passport must earn to be worth the fee.
• Compare tag types (QR label, woven label, NFC chip) and check that your choice fits within the 0.60 variable cost.
• Quote a pilot package: setup fee, per-item fee and a review at day 90.

Activity. Build the model with a 50% volume case.

Standard to meet. Show the cases.

Trust depends on honest inputs.

• Train suppliers to scan at each step.
• Verify supplier entries with audits and photos.
• Tell the supplier what went wrong as soon as an audit finds an error.
• Track the share of items with a complete record each week.
• Give each supplier a one-page checklist: what to scan, when, and whom to call if the tag does not work.
• Audit a sample of 20 records a week against photos and paper documents, and record the error rate.
• Never delete an entry; add a correction with date, reason and who made it.

Activity. Run a 4-week capture test.

Standard to meet. Track completion.

Start with a brand that has a fake or resale problem.

• Offer a 90-day pilot on one line.
• Show a live scan demo to every brand you meet.
• Partner with repair shops and resale sites.
• Track the funnel from brands contacted to demos to pilots.
• Prepare a three-minute live demo: scan a tag, show the history, and add a repair entry.
• Meet a repair shop and a resale seller, agree how they will add entries, and record their needs.
• Write a one-page pilot offer: line, units, fee, dates, measures and exit terms.

Activity. Pitch three brands.

Standard to meet. Pitch has numbers.

A record can mislead if inputs are wrong.

• Claim only what you can prove.
• Keep personal data off the shared record.
• Plan for tag failure and re-tagging.
• Prepare for the brand leaving the service.
• Keep a claims log: each public claim, its evidence, the date checked and the person who signed it off.
• Design the tag to carry only an item number, with all other data held in a record you can correct and delete.
• Write a brand-exit plan: how owners keep access to history if the brand stops using the service, and how data is exported.

Activity. Write a risk register.

Standard to meet. Name an owner for each item.

Prove one line.

• Run the pilot for 90 days on one product line.
• Measure scan rate, resale uplift, fakes found.
• Stop rule: under 50% tag survival means change tag.
• Decide at day 90 whether to proceed, change the tag or stop.
• Record three numbers each week: scan rate, tags lost and fakes found, and plot each.
• Collect resale prices for tagged and untagged items of the same type and compare the averages.
• Plan a second line only after the review, and list what must be fixed first.

Activity. Run pilot review.

Standard to meet. Review has decision.

L1: Digital aware learner. You can define: name the main terms, people and rules of fashion blockchain company. Focus module: Find the authenticity and resale problem (Understand, 6 h). Fashion has problems with fakes, hidden labour and waste. A shared digital record can tie a garment to its origin, owner history and repair record. Key points: List buyer worries: fake goods, unknown origin, resale value, repair history. Choose one product: a bag, a jacket or a pair of shoes, and a first brand partner. Decide the record: material source, maker, date, size, care and each change of owner. Test the need with ten shoppers: would proof of origin change what you pay? Interview one repair shop and one resale seller to learn what proof of origin they need most and what they check today. Write the buyer's questions as a list (Is it real? Where was it made? Who owned it? Was it repaired?) and match each to a field in the record. Choose the first line by picking an item with a high price, frequent copying or a resale market, and count how many units exist.

Speaker notes. Teach: open with the worked example. Assume (teaching figures, not market facts) that a resale buyer pays 15% more for a bag with a verified history and a repair record, and that fakes cost the brand 2% of sales. If the bag normally resells for 400, 15% more is 400 x 0.15 = 60, so 460. If the brand sells 500,000 a year, 2% lost to fakes is 10,000. Then set the activity: Survey ten shoppers and one brand and write the problem in one page. Mark against the standard: Survey shows a real willingness to pay. Check at this level (this question is covered in module 3: Design the digital product passport): What does a product passport record? Model answer: Business facts such as lot, maker, date, material and certificates. Level note: Start here if new. Evidence: a one-page glossary and a visit or interview note.

L2: Support assistant. You can describe: explain how fashion blockchain company works from first contact to result. Focus module: Know consumer, textile and data rules (Apply, 6 h). Fashion claims and labels are regulated, so check each rule before you launch. Key points: Federal textile labelling rules require fibre content to be shown in English and French; care labels are voluntary but any care claim must be true. Check the current rule for your product. Claims such as 'sustainable' or 'ethical' must be provable under competition law. Customer personal data is protected by privacy law and should not sit on a record that cannot be erased. Cross-border sales add customs, duty and product-safety rules. Check which country-of-origin wording you may use on a label, and keep supplier records that back it up. Ask a privacy adviser whether a tag linked to an owner needs consent and how a person can delete their data; collect only what is needed. List which claims go on the tag, the website and ads, and who approves each claim before it is published.

Speaker notes. Teach: open with the worked example. Row: 'Claim recycled content | competition law and labelling rules | hold supplier certificate | before launch | certificate on file'. Second row: 'Label a jacket for sale in Canada | federal textile labelling rules | check the fibre content label in both languages and the care label if you add one | before launch | label proof approved'. Check the provincial rule for any extra requirements. Then set the activity: Build a rules table for one product line. Mark against the standard: Cite a source and a date for every row. Check at this level: Which rules require "sustainable" claims to be provable? Model answer: Competition and labelling rules; check the current federal and provincial rule. Level note: Evidence: a flow chart and a two-minute spoken explanation.

L3: Junior developer or analyst. You can apply: carry out a routine task in fashion blockchain company to a written standard. Focus module: Design the digital product passport (Apply, 10 h). Keep the record small and useful. Key points: Attach a tag: QR code, NFC chip or hidden label that cannot be copied easily. Record business facts only: lot, maker, date, material, certificate numbers. Let owners add care and repair entries; a transfer is a new entry. Test the tag after washing, rubbing and sunlight. Test ten tags each for rubbing, folding, rain and sunlight, and tabulate scan success for each test. Choose where the tag sits: hidden, protected and easy to scan, and photograph the spot for the guide. Build a scan page that shows only business facts and a plain message if the tag is unknown or already used.

Speaker notes. Teach: open with the worked example. After 20 washes, 18 of 20 QR labels still scanned and 2 failed. Survival is 18 / 20 = 90%. That passes the 50% stop rule, but a 10% failure rate is too high for a lasting record, so test a woven label next. Then set the activity: Prototype a passport for one garment and test the tag. Mark against the standard: Test results recorded. Check at this level: Why test tags after washing? Model answer: Tags must survive real use. Level note: Evidence: a supervised task record that meets the standard once.

L4: Developer, consultant or builder. You can analyse: diagnose why a fashion blockchain company result missed its target and fix it. Focus module: Price the service and prove the gain (Evaluate, 8 h). Brands pay when the passport raises sales or cuts fakes. Key points: Charge the brand a fee per item tagged; the worked example below uses 1.80 per item. List the brand's gains: price premium, resale royalty, fewer fakes and better returns data. List your own costs: tags, hosting, support and onboarding. Work out break-even volume as fixed cost divided by margin per item. Estimate the price premium the brand can charge, and the share of it the passport must earn to be worth the fee. Compare tag types (QR label, woven label, NFC chip) and check that your choice fits within the 0.60 variable cost. Quote a pilot package: setup fee, per-item fee and a review at day 90.

Speaker notes. Teach: open with the worked example. Fee 1.80 per item; variable cost 0.60; margin 1.20; fixed cost 8,000 a month needs about 6,700 items a month. Teaching figures in CAD. Check: 6,700 x 1.20 = 8,040, just above 8,000. At 50% volume, 3,350 items give 3,350 x 1.20 = 4,020, leaving a monthly gap of 8,000 - 4,020 = 3,980. Then set the activity: Build the model with a 50% volume case. Mark against the standard: Show the cases. Check at this level: What is break-even? Model answer: Fixed cost divided by margin per item. Level note: Evidence: a fault or gap analysis with a fix and a repeat test. This course targets this level.

L5: Senior specialist or team lead. You can evaluate: judge options for fashion blockchain company against cost, risk and quality. Focus module: Sell to brands and marketplaces (Create, 6 h). Start with a brand that has a fake or resale problem. Key points: Offer a 90-day pilot on one line. Show a live scan demo to every brand you meet. Partner with repair shops and resale sites. Track the funnel from brands contacted to demos to pilots. Prepare a three-minute live demo: scan a tag, show the history, and add a repair entry. Meet a repair shop and a resale seller, agree how they will add entries, and record their needs. Write a one-page pilot offer: line, units, fee, dates, measures and exit terms.

Speaker notes. Teach: open with the worked example. Funnel: 20 brands, 6 demos, 2 pilots. Brand to demo is 6 / 20 = 30%, demo to pilot is 2 / 6 = 33%, and overall 2 / 20 = 10%. At 10%, winning 5 pilots needs about 50 brands. Then set the activity: Pitch three brands. Mark against the standard: Pitch has numbers. Check at this level (this question is covered in module 4: Price the service and prove the gain): Name two brand gains. Model answer: Price premium and fewer fakes (or resale royalty). Level note: Evidence: an options paper with numbers and a recommendation defended to a panel.

L6: Delivery or product manager. You can create: design and pilot a new offer or process in fashion blockchain company. Focus module: Manage greenwashing, privacy and tech risks (Evaluate, 6 h). A record can mislead if inputs are wrong. Key points: Claim only what you can prove. Keep personal data off the shared record. Plan for tag failure and re-tagging. Prepare for the brand leaving the service. Keep a claims log: each public claim, its evidence, the date checked and the person who signed it off. Design the tag to carry only an item number, with all other data held in a record you can correct and delete. Write a brand-exit plan: how owners keep access to history if the brand stops using the service, and how data is exported.

Speaker notes. Teach: open with the worked example. Risk: 'Wrong origin entered | 3 x 5 | audit and photo proof | quality lead | monthly'. The score is 3 x 5 = 15 out of 25, so it is high priority. After audits with photo proof, likelihood falls to 2 and the score is 2 x 5 = 10. Then set the activity: Write a risk register. Mark against the standard: Name an owner for each item. Check at this level: Why keep personal data off the record? Model answer: It cannot easily be erased. Level note: Evidence: a pilot with measured results over at least 30 days.

L7: Digital director or founder. You can lead: run a team or business in fashion blockchain company and develop others. Focus module: Pilot and scale (Create, 8 h). Prove one line. Key points: Run the pilot for 90 days on one product line. Measure scan rate, resale uplift, fakes found. Stop rule: under 50% tag survival means change tag. Decide at day 90 whether to proceed, change the tag or stop. Record three numbers each week: scan rate, tags lost and fakes found, and plot each. Collect resale prices for tagged and untagged items of the same type and compare the averages. Plan a second line only after the review, and list what must be fixed first.

Speaker notes. Teach: open with the worked example. Tag survival 94%; resale uplift 12%. Of 500 tagged items, 94% is 470 tags still scanning at day 90, far above the 50% stop rule. A 12% resale uplift on a 400 bag is 400 x 0.12 = 48; decision: proceed. Then set the activity: Run pilot review. Mark against the standard: Review has decision. Check at this level: What triggers a tag change? Model answer: Under 50% tag survival. Level note: Evidence: a record of results over a year and of people you have coached to a higher level.