Most retail and service businesses spend on advertising to attract new customers while leaving a more reliable source untouched — the patterns inside their existing customer data. HieCOR AI reads your real purchase history, product catalog, service records, and engagement data to identify your highest-value customer profiles, optimize your listings for discovery, and trigger outreach that attracts new buyers without guesswork.
No commitment required · US-based implementation team
Core Capabilities
Four AI employees work across your product catalog, customer database, inventory, and communication channels to build a consistent inbound engine.
Riley reviews every listing for completeness, title quality, attribute accuracy, and marketplace-specific requirements — so your products show up in search before a competitor's does.
Morgan reads your real transaction data to identify the purchase patterns, product categories, service types, and geographic clusters that produce your highest-lifetime-value customers — and builds outreach audiences that match them.
When a waitlisted or recently unavailable product arrives via purchase order, Alex identifies every customer who browsed the product or was on the waitlist — and triggers Morgan to prepare personalized outreach within hours of receipt.
Jamie identifies customers whose purchase frequency, engagement pattern, and account tier suggest they are strong referral candidates or ready for a reactivation conversation — and surfaces them with a specific, contextual outreach recommendation.
Morgan builds campaign audiences from Smartlist logic — product category, purchase history, service type, customer tier, and geography — and drafts campaign messages that reference what each segment actually bought or experienced.
Morgan connects campaign sends to completed purchases — showing which audiences, channels, messages, and timing are generating new customers and which are generating noise.
AI Employees
Riley, Morgan, Jamie, and Alex each contribute to customer acquisition — from listing visibility through referral identification and back-in-stock recovery.
Riley
Product Data AIMorgan
Revenue Growth AIJamie
Sales Experience AIAlex
Inventory AIWhy HieCOR
The gaps most retail and service businesses live with every day — and what HieCOR does differently.
| Situation | Without HieCOR | With HieCOR |
|---|---|---|
| Building a campaign audience | ✗Pull an export from the POS, filter manually in a spreadsheet, clean duplicates, and upload to an email tool — hours of work, and the list is already stale by send time. | ✓Morgan builds the Smartlist audience from real transaction data in real time — filtered by product category, purchase history, customer tier, and geography — and the list updates automatically as customer data changes. |
| Optimizing product listings for search | ✗Someone periodically reviews listings and updates titles or adds images when they have time. Gaps persist for months. Competitor listings rank above yours. | ✓Riley reviews every listing for completeness and marketplace-specific requirements before it goes live — and flags active listings that have dropped below visibility thresholds so they can be corrected immediately. |
| A waitlisted product arrives in the warehouse | ✗Product is received, inventory is updated, and the 14 customers who were on the waitlist never hear about it. They already bought from someone else. | ✓Alex identifies the waitlist at PO receipt and triggers Morgan to prepare personalized back-in-stock outreach within hours. Most customers on the waitlist receive the message before they find the product elsewhere. |
| Identifying referral candidates | ✗Nobody thinks about referrals systematically. Occasionally someone asks a happy customer. No tracking, no consistency. | ✓Jamie identifies customers whose purchase frequency, account tier, and engagement pattern make them strong referral sources — and surfaces a specific, timed referral conversation recommendation. |
| Knowing which campaigns are generating new customers | ✗Open rates and click rates are tracked. Actual purchases attributed to specific campaigns are not. Decisions are based on engagement, not revenue. | ✓Morgan tracks every campaign from send through purchase — showing which audiences, messages, and channels are generating new customers and which are generating clicks that never convert. |
Use Cases
The attract workflow applies across marketplace selling, retail campaigns, service market expansion, and referral programs.
Marketplace growth
Your 847 active marketplace listings range from fully optimized to critically incomplete. Riley surfaces the 12 that have dropped below the minimum search visibility threshold — three missing required energy ratings, four with outdated pricing, five with image counts below the minimum. All 12 are corrected before the week ends. Marketplace search ranking improves within 30 days.
Retail campaign targeting
Morgan analyzes your top 100 customers by lifetime value and identifies 3 common patterns: appliance bundles (fridge + washer), first purchase under 6 months followed by service booking, and purchases of 3+ items in a single visit. It builds a Smartlist of 340 existing customers who partially match these patterns and drafts a campaign for each segment. 18% of recipients make a purchase within 30 days.
Back-in-stock recovery
A refrigerator model that has been out of stock for 3 weeks arrives via PO receipt. Alex identifies 23 customers who browsed the product page or submitted a waitlist request. Morgan prepares personalized back-in-stock messages for each — with the customer's name and the product they were waiting for. 11 of the 23 complete a purchase within 48 hours of the message.
Most businesses identify their highest-LTV customer profile for the first time within 30 days of deploying HieCOR AI — and find 200 to 400 existing customers who partially match it.
See a 30-minute demoFAQ
Everything buyers ask before deciding whether HieCOR is the right platform.
AwarenessHow does HieCOR AI attract new customers without ad spend?
HieCOR AI attracts new customers by optimizing your product listings for marketplace discovery, identifying your highest-LTV customer patterns and building audiences that match them, triggering back-in-stock outreach to waitlisted customers, and surfacing referral candidates from your existing customer base — all from data you already have.
AwarenessWhat does Riley do for customer attraction?
Riley reviews every product listing for completeness, title quality, attribute accuracy, and marketplace-specific requirements before it goes live. Optimized listings rank higher in marketplace search — generating inbound traffic without additional ad spend.
AwarenessHow does back-in-stock outreach work?
When a waitlisted product arrives via purchase order, Alex identifies every customer who browsed the product or submitted a waitlist request and triggers Morgan to prepare personalized back-in-stock messages. Most businesses recover 30 to 50 percent of waitlisted customers with same-day outreach.
EvaluationHow does Morgan build acquisition audiences?
Morgan reads your real transaction data — purchase history, product categories, service types, customer tier, and geography — to identify the patterns most associated with high-lifetime-value customers. It builds Smartlist audiences from those patterns, and those lists update automatically as customer data changes.
EvaluationCan HieCOR AI identify referral candidates?
Yes. Jamie identifies existing customers whose purchase frequency, engagement history, and account tier make them strong referral sources — and surfaces them with a specific referral conversation recommendation and drafted outreach.
EvaluationHow does HieCOR track which acquisition campaigns are converting?
Morgan connects every campaign send to downstream purchase data — attributing new customers to specific audiences, messages, and channels. Every campaign improves on the one before it because the attribution data is real, not estimated.
DecisionHow is the Attract Customers workflow priced?
HieCOR AI workflows are included as part of the broader HieCOR platform. Pricing is based on modules deployed and transaction volume. Pricing is discussed during the demo.
DecisionWhat does implementation look like for the attract workflow?
The US-based implementation team configures Smartlist audience templates, listing completeness rules, back-in-stock trigger setup, and campaign attribution during the 45-day onboarding.
Most businesses who go through a HieCOR demo immediately identify the customer acquisition opportunities sitting in their existing data — and see what a connected AI workflow would generate from them.
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Live walkthrough with a retail platform specialist.
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No commitment required · US-based implementation team · Average onboarding: 45 days