Talos MaiND helps retailers optimize Google AI Shopping feeds, automate customer support at scale, run loyalty programs, and maintain omnichannel consistency -- turning every interaction into a revenue opportunity.
Real challenges facing retail & e-commerce teams today -- and how Talos MaiND addresses each one.
Product feed quality directly impacts Google AI Shopping visibility, but most retailers ship unoptimized feeds with missing attributes, poor descriptions, and no JSON-LD schema.
AI-powered product feed optimization that generates rich descriptions, validates Google Merchant Center attributes, generates JSON-LD structured data, and scores feed quality.
Customer service volume spikes during promotions and seasonal events. Agents are overwhelmed, response times balloon, and CSAT drops when it matters most.
AI agents handle order status, returns, product recommendations, and FAQ responses across chat, WhatsApp, and social media -- scaling instantly during peak periods.
Loyalty programs underperform because enrollment is manual, tier progress is opaque, and reward redemption is friction-heavy.
Automated loyalty enrollment post-purchase, real-time tier progress tracking, personalized reward recommendations, and one-tap redemption through conversational interfaces.
Omnichannel consistency is a myth for most retailers. The website says one thing, the app another, and in-store staff have different information entirely.
A unified AI knowledge base ensures consistent product information, pricing, and promotions across every channel -- chat, WhatsApp, Viber, social media, and in-store kiosks.
Purpose-built AI skills designed specifically for retail & e-commerce workflows.
Structured full-account audit in strict order (tracking first, then structure, bidding fit, computed search-term waste, assets, settings, landing pages) — weighted score, prioritized fix list, estimated monthly waste; unverifiable areas stated as unverified, never passed
Read-only per-client context: brand guardrails, competitor watchlist, measurement stance, KPI + target, currency/timezone, tracking status and platform account refs (never credentials) — so every per-client employee reads THIS client's facts instead of an agency-wide blob
Check availability, book appointments, reschedule, cancel, and send reminders
Wholesale operations: tiered pricing, credit-exposure monitoring, reorder proposals from cadence, dormant-account detection, pro-forma lines. Adverse credit actions are human-release proposals, never applied.
Cross-client morning sweep: spend vs each client's budget of record, month-end projection (Google 30.4× + 2× overdelivery, Meta weekly flex), conversion-lag-adjusted anomaly scoring with flatline detection, correction drafts — observes, never operates
Enable camera access in the chat widget for photo and video capture with AI vision analysis
Plan abandoned-cart recovery (B2C) and B2B reorder-due nudges with consent, suppression and frequency caps enforced. Never messages without consent; honors opt-outs; holds on the cap.
Self-assembling client report packs: pacing vs budget first, per-platform + blended KPIs with prior-period deltas, tracking-status caveats, recent-activity context and a narrative skeleton — delivery only through the proposal queue
The shop's finance brain over the storefront connector: unit economics after fees/shipping/returns/COGS (loss-makers surfaced), channel/category P&L, honest promo P&L with cannibalization, cash-flow projection, inventory health. NOT MEASURED where inputs are missing; findings never price actions.
Standing watches on public ad libraries per client watchlist: active-ad counts, format mixes, recency and dated example snapshots with mandatory provenance (snapshot URL + date) — never copy, always counter
Monitor competitor catalogs/prices from PUBLIC pages (schema.org), match to the shop's products, and report price position + undercut alerts. Public sources only; findings for your own team — never signals or coordinates with a competitor.
Per-creative baselines and lifecycle staging Healthy → Early Warning → Fatigued → Dead: hook rate vs own baseline for video, CTR decay + rising frequency for statics; the replacement queue drives the creative brief loop with ~48h lead time
Universal capabilities that complement your retail & e-commerce toolkit.
Enable inter-agent communication within the same organization: discover agents, send messages, delegate tasks, and broadcast to multiple agents
Query aggregate, organization-scoped interaction statistics across every chatbot in this organization: per-day usage report (conversations, messages, sessions, tokens), daily tool activity, tool usage, and widget-context breakdown. Aggregates only, never raw conversation content.
Asynchronous inter-agent communication framework: shared bulletin board, machine-consumed directives, guarded outbound action proposals with human approval, and shared organization goals
Find cheapest flight destinations from any origin via Amadeus
Search flights, confirm prices via Amadeus GDS API
Search hotels by city or coordinates via Amadeus API
See end-to-end workflows that automate critical retail & e-commerce operations.
The product feed optimizer analyzes your existing Google Merchant Center feed, identifying missing attributes, poor descriptions, and optimization opportunities.
Product titles and descriptions are AI-optimized for Google Shopping relevance, incorporating trending search terms, key features, and structured data.
Structured data in JSON-LD format is generated for each product, enabling rich results in Google Search and better AI Shopping integration.
Every product receives a quality score with specific improvement recommendations. The feed is validated against Google Merchant Center requirements.
After purchase, the customer receives a personalized WhatsApp message with order confirmation, delivery tracking, and care instructions.
The agent offers loyalty program enrollment with a clear value proposition. Points for the current purchase are calculated and displayed in real time.
Based on purchase history and earned points, the reward recommender suggests relevant rewards, exclusive offers, and tier upgrade paths.
A brief satisfaction survey is sent post-delivery, feeding into the conversation analytics engine for continuous improvement.
The social media skill generates campaign content optimized for each platform -- Instagram carousels, Facebook posts, and Twitter threads with product highlights.
Unique QR codes are generated for each campaign, linking to personalized landing pages with exclusive offers and tracking parameters.
QR codes are deployed in-store on product displays and receipts. Scanning initiates a chat conversation with product details and exclusive discounts.
Scan rates, conversion attribution, and engagement metrics are tracked across all channels, providing a unified view of campaign performance.
See what Talos MaiND could save your retail & e-commerce organization every month.
Estimate your monthly savings with Talos MaiND automation.
retail preset loaded* Assumes 65% automation rate and $1,499/mo platform cost.
Estimated monthly savings
ROI on platform investment
Payback period
Hours saved / month
“The product feed optimizer improved our Google Shopping impressions by 156% in the first month. Products that were previously disapproved are now ranking in the top 5 for their categories.”
Head of E-Commerce
Retail Group ·
Join forward-thinking retail & e-commerce organizations that are automating operations, reducing costs, and delighting customers with AI-powered agents.