Your twin knows every SKU, size chart, stock status and delivery policy. Answers buyers in 29 languages 24/7, recommends fit, handles pre-sale and returns. Conversion up, support cost down.
Each one recovered by your twin — in your brand voice, 24/7.
Pain: 'Will this fit me?', 'Is it in stock?', 'When will it arrive?' — no answer at 11 PM, cart abandoned by morning.
Fix: Twin answers instantly from your catalog/stock/shipping API. Recommends size from body measurements. Closes carts that would have died.
Pain: 50% of tickets are WISMO — 'where is my order'. Support spends the day copy-pasting tracking links.
Fix: Twin pulls real-time status from carriers, proactively pings the buyer on delay, deflects WISMO tickets by 95%.
Pain: Every return = 5–8 emails, policy explanations, shipping label attempts. Support burns hours; customer gets frustrated.
Fix: Twin runs the whole return flow: reason, eligibility, label generation, refund ETA — from chat in minutes.
Pain: You sell globally, support replies in English. German/French/Spanish buyers bounce. Cart conversion by locale is terrible.
Fix: Twin replies natively in 29 languages, with your brand voice preserved. Localization isn't a translation project.
Pain: Buyer picks a dress; nobody suggests the matching bag, the right socks, or the accessory that usually ships together.
Fix: Twin knows your co-purchase patterns and current outfit/combo data, recommends contextually in your brand voice — AOV lifts 10–30%.
Pain: Black Friday, launch day, flash sale — 10× traffic; support queue explodes; NPS tanks.
Fix: Twin scales to any volume at the same speed — no queue, no delay, no collapse.
Based on a D2C brand with $500k monthly revenue and 15k sessions/month. Scales with volume.
| Metric | Without twin | With DiGTwin | Your monthly saving* |
|---|---|---|---|
| Cart-abandonment recovery via chat | 4% | 17% | ≈ +$22,500/mo revenue |
| Support ticket volume (WISMO) | 2,000/mo | 100/mo | −95% · ≈ $5,700/mo saved |
| Return flow time | 4 days | 6 min | +CSAT, −refund support cost |
| Conversion on non-English locales | 1.2% | 2.4% | ≈ 2× international conversion |
| AOV with recommendation twin | $75 | $91 | +21% on every order |
| Peak-hour response time | 8 h | 30 sec | +BFCM sales preserved |
| D2C brand monthly uplift (recovered revenue + saved cost) | ≈ $35,000+ | ||
*Example for $500k/mo brand. Scales with GMV; during peak seasons the effect compounds.
Past reports, briefs, Slack/email exports, Notion docs — RAG ingests instantly.
5-minute recording — the twin replies by voice and can appear on video if you want.
Two minutes to define tone, off-limits topics and escalation rules.
Correct any reply — the twin learns your judgment call for next time.
Shopify and WooCommerce native (catalog, stock, orders, returns). Magento via API. CS-Cart via webhook. Custom platforms via REST.
Yes — live stock and pricing from your platform. Doesn't cache stale data. Out-of-stock handled gracefully with alternatives.
Combines your size chart, customer-reported measurements, past return-reason data. Asks 2–3 quick questions → recommends with confidence.
All three — shop-chat parity. Buyer starts on IG, continues on site, checks status on WhatsApp — same conversation thread.
GDPR-compliant, PCI scope limited (we never touch card data), data scoped to your store.
Free to try, catalog sync in 1 hour, impact during the first week.
Start freeOpen in English? EN version.