Every service has a consumption norm: colouring — 80 g of dye and 50 ml of developer, manicure — 5 g of base and 10 g of colour. You close an order — Starta.one automatically writes off materials from stock according to the tech card. The real cost of every service is always up to date; no more 'somehow 2 kg of oil went missing'. AI also alerts you when a specific technician consistently overuses (new hands or leakage to third parties).
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Starta.one is an AI CRM for service businesses. It combines online booking, client management, finances, team scheduling, and marketing in one system — configured and operated by AI. Over 1,000 businesses use Starta.
First inventory after a quarter: minus 2 kg of dye, minus 5 L of developer, minus 30 disposable brushes. Actual costs look normal for the turnover, but without tracking 'what went where' it's impossible to say: is this normal consumption, is a technician overusing, or is it theft? Losses: $200–$375 per quarter that disappear into the 'other' line of your P&L.
Complex colouring $30. 'Ingredients maybe $5, so $25 margin'. Without a tech card you don't know: 80 g dye × $0.11/g = $8.80 + 50 ml developer × $0.03/ml = $1.50 + disposables $0.60 = $10.90 cost. Real margin $19.10 (64%). Or the other extreme: technician used 110 g (norm 80 g) — cost $14.50, margin $15.50 (52%). Without precise data — no management decisions.
Sashko does colouring with 80 g (norm). Masha consistently uses 110 g — 'the hair is thick', 'forgot to wipe the table'. Anya — 75 g, but clients complain about quality. Without tracking actual write-offs you don't know who on the team is on-norm, who overuses, who saves at the expense of quality. You lose margin through the worst person's overuse and risk reputation through the best person's cuts.
Tech card for 'short hair colouring': 60 g dye + 40 ml developer + 1 disposable brush + 1 pair of gloves. Separate tech card for 'long hair colouring': 100 g + 70 ml + 2 brushes + 1 pair of gloves. The technician selects a variant when closing the order — the system knows what to write off.
Technician closed 'short colouring' — the system immediately wrote off 60 g of dye, 40 ml of developer, 1 brush, 1 pair of gloves. Stock balances updated. You don't 'reconcile stock at week's end' — it's live and accurate at any moment.
You bought dye at the new price of $0.13/g — the colouring cost recalculated automatically from $9 to $10.40. The colouring margin in your P&L report is immediately updated. You see whether you need to raise the service price or find savings elsewhere.
Technician actually used 90 g of dye instead of 80 (norm). Corrects when closing: 'actual 90 g, reason: long hair'. The audit log stores who, when and why made the correction. If corrections become systematic — that's a signal for AI, not 'the technician forgot to note it'.
AI compares each technician's actual consumption against the tech card norm. Weekly push: 'Masha has consistently overused dye by +18% over the last 14 days (norm 80 g, actual average 95 g). Possible reasons: new technique, application errors, material removal. Check.' Not 'look at reports' — specific technician, specific overuse, specific actions.
After 3 months of use AI sees: 'actual average dye write-off across all technicians is 88 g vs norm 80 g, and everyone is consistently above norm → tech card norm is inaccurate, recommend raising to 88 g'. Or the opposite: '60 g of developer vs norm 70 g — norm is inflated, can be reduced'. Norms evolve with reality rather than staying stale for years.
For each service: materials from stock + norm per service. Multiple variants possible (short/long hair, men's/women's haircut, simple/complex manicure). Templates for typical services (colouring, manicure, massage, spa treatment) are ready to go.
Technician selects a variant when closing, system writes off automatically. If more was actually used — correct it (with reason, in the log). No manual write-offs, no 'forgot to note'.
Every week AI compares actual consumption against norms per technician and service. Push: 'Masha overusing by 18% — check'. Quarterly it suggests updating tech cards based on real data. Norms evolve with your practice.
The most common alternatives to integrated service tech cards are: 'the technician knows what to write off', an Excel cost calculator, or a standalone warehouse program disconnected from orders. Here is why none of them provide management data:
Works with 1 technician. With a team of 3+ everyone 'knows it their own way': Sashko writes off 80 g, Masha 110 g, Anya 75 g. Admin enters an average from memory in the warehouse program. Inventory: +/- 10–20% discrepancy — 'well, probably fine'. Real service cost is unknown to you. Margin losses from 'leakage' are $200–$375/quarter, and you don't know who on the team is the risk.
Admin sits a bookkeeper down, calculates: 'colouring — 80 g dye × $0.10 = $8 cost'. Saves in Excel. 6 months later dye price up 25% — nobody updates it. A year later the Excel shows '60% margin', reality is 45%. Without integration with stock and real purchase prices, the calculator shows 'dinosaur-era margins'. Management decisions from it are based on stale data.
Warehouse system separate, order tracking separate. Admin manually writes off in the warehouse program: '50 g of dye today'. How many orders closed and for how much material — unknown. Write-offs are a separate 30-minute daily process nobody enjoys. A month later inventory shows: '-3 kg of dye', with no way to say if that's normal consumption, overuse, or theft. Result: you have a warehouse, but it's an expense archive, not a management tool.
AI will analyse your business in 5 minutes and show you: typical traps in material accounting, how much margin you are losing through the absence of tech cards, which services have the greatest margin growth potential.
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Service tech cards are available in Starta.one Pro together with the stock module. The number of tech cards and variants is unlimited.
No. Tech cards are only needed for services that use consumable materials (colouring, manicure, spa treatment, dental procedures). For consultations, check-ups, or services without materials — no tech card is needed; the order closes without any write-off.
Yes. When closing an order, the technician can correct actual consumption (e.g. '80 g → 90 g, reason: long hair'). The correction with reason is stored in the audit log. If corrections become systematic for a specific technician — AI alerts that the tech card norm should be reviewed or there is another reason (errors, leakage).
AI does two things: 1) **Highlights systematic overuse by technician** — weekly compares each technician's actual consumption against the norm and alerts ('Masha +18% above norm over 14 days — check'). Helps identify new staff who haven't mastered the norms yet, technique errors, or potential material 'leakage'; 2) **Suggests norm updates based on real data** — quarterly analyses average actual consumption across all technicians and suggests raising the norm if it's consistently above standard, or lowering it if below. Tech card norms evolve with real practice rather than going stale in Excel for years.