FOR ECOMMERCE & DTC
online carts are abandoned before checkout — the largest recoverable revenue pool in your funnel
Baymard
revenue lift personalization delivers when it’s done right
McKinsey
act on trusted recommendations over ads
Nielsen
companion — site, app, and social, one voice, one memory
Abandoned carts
Shoppers hesitate the most when spending real money. Search returns results but doesn’t help them decide.
A companion qualifies the shopper and builds the basket like your best floor associate — at digital scale.
Scripted bots can't sell
Existing chatbots avoid embarrassment by avoiding conversation — no memory, no personality, no lift.
A character with warmth, humor, and a point of view — in your brand’s approved voice.
Trust hasn't been earned
Only 19% trust AI with everyday purchases. Trust is won by a character worth talking to, not a smarter form field.
Memory that carries across visits: preferences, sizes, past orders, and life moments.
Natural-language search, product Q&A, side-by-side comparisons, and gift finders — one conversation from browse to decision.
Recommendations, styling, size and shade match, deal monitoring — tailored to each shopper using memory across sessions.
A living character with personality, world awareness, and your brand’s voice. Shoppers trust a companion more than a banner.
Checkout in chat, bundle builder, deal tracker, subscriptions — purchase intent captured at its peak and attributed directly.
The Guided Purchase
A shopper can’t decide among thousands of SKUs. The companion asks two questions and narrows it to the right three — conversion and units per transaction lift with mid-conversation bundling.
The Returning Customer
A repeat shopper comes back mid-consideration. The companion remembers their size, last order, and an upcoming life moment — lifting repeat purchase without a discount.
The Support Save
A frustrated shopper opens chat about a return. The companion resolves it in-brand, then surfaces a relevant next purchase at the right moment — support becomes a revenue moment, not a cost center.
Every conversation is a first-party data asset — demand in shoppers’ own words, before it ever shows up in sales.
What shoppers say, you own
Intent stated directly — who they shop for, budgets, sizes, hesitations — captured word-for-word in your dashboard.
Trends before they sell out
Spot the next viral product as it emerges in chat, not after inventory is gone. Search gaps and unmet requests flagged in real time.
Warm audiences, ready to use
Intent signals feed retargeting, remarketing, and CRM. Every returning shopper is a better-known audience — not inferred, stated.
If the companion didn’t close it, it doesn’t count. No attribution guesswork.
Commerce
Orders closed in chat, conversion, AOV, revenue per conversation, upsell rate.
Engagement
DAU/MAU, messages per user, D1/D7/D30 return, repeat conversation rate.
Insight
Top intents, extracted preferences, demand signal, drop-off points on the path to purchase.
Sentiment
Score per conversation, positive vs negative share, per-product trend, negative-spike alerts.
Three independent layers sit between a shopper’s message and the reply — designed for adversarial users, not just polite ones.
Screen what comes in
Incoming messages are checked for jailbreak attempts and off-limits topics before the character sees them.
Your rules in the middle
You define banned topics, terms, and tone. Nothing goes live without your sign-off.
Independent check on the way out
A separate validator reviews every reply against your rules before it’s sent.
Escalation for human-in-the-loop — Curated Mode, blacklists, full logs, and a kill switch ship on day one.
Existing bots answer scripted Q&A. Helika deploys a character with personality, memory across sessions, and the ability to guide a purchase to checkout.
Via API. The companion authenticates shoppers, references order history, checks inventory, applies promotions, and hands off to your existing checkout.
You do. The character is yours; conversations are first-party data flowing to your dashboard, CRM, and retargeting stack.
Three layers: input screening, your rules enforced in the middle, and an independent validator on the way out — plus Curated Mode, blacklists, full logs, and a kill switch.
Aligned to outcomes. Helika covers the compute and earns a share of the revenue the companion drives — we only get paid when the register rings.
A pilot runs from signature to live in roughly 60–90 days — build, closed test, launch in a defined slice, then scale on the measured numbers.
