Trusted by Retailers, DTC Brands, Marketplaces & Omnichannel Operators
Multi-Agent Shopper, Inventory, Pricing & Loss-Prevention Crews on LangGraph, CrewAI & Shopify / Salesforce Commerce
DreamzTech is an AWS, Google Cloud and Microsoft Solutions Partner with 100+ AI agent deployments across 15 countries — including a Fortune 500 SaaS where multi-agent customer-support automation delivers 75% Tier-1 deflection and $2.1M annual savings, and a Series-D B2B SaaS where four-agent sales qualification drives 4.2× SQL conversion lift and $14.2M Q1 pipeline. The same engineering pattern powers our retail + ecommerce deployments across shopper assist, inventory, returns, dynamic pricing and loss prevention.
Plug-in SaaS bots (Gorgias, Tidio, Fin, Skara) cover Shopify customer-service-only use cases. EHR-of-retail platforms (Salesforce Agentforce, Adobe Sensei) lock you to their commerce stack. AI agents for retail built right sit across your full commerce stack — Shopify plus Salesforce Commerce plus Magento plus NetSuite + Manhattan + Klaviyo + Square POS — reasoning over inventory, customer-360, price elasticity and channel signals, then taking real actions (recommending products, adjusting prices, routing returns, flagging shrinkage, replenishing stock). See our AI agent development hub.
Quick Answer: AI agents for retail are tool-using software systems built on foundation-model LLMs (Anthropic Claude 3.5 Sonnet, OpenAI GPT-4o, Llama 3.3 + vision models CLIP, Segment Anything) that automate ecommerce + brick-and-mortar workflows: shopper assistance, conversational commerce, dynamic pricing, inventory + assortment optimisation, returns + reverse logistics, visual search, loyalty + CDP segmentation, loss prevention + shrinkage detection, store-ops workforce scheduling and last-mile logistics. They invoke Shopify, Magento, BigCommerce, Salesforce Commerce Cloud, commercetools, NetSuite, Microsoft Dynamics 365 Commerce, Manhattan Active, Klaviyo, Braze, Bloomreach, Square, Lightspeed, Toast POS and 100+ retail APIs via Model Context Protocol — with PCI-DSS tokenisation, CCPA/GDPR consent gates and ADA-accessible front-ends. Industry forecast: AI platforms will drive 1.5% of US retail ecommerce sales in 2026 ($20.57B, ~4× 2025); proactive agents at hesitation moments deliver 300%+ conversion lift; Tidio Lyro resolves 67% of customer requests (sources: eMarketer, Salesmate, Tidio).
DreamzTech builds retail agents from $25,000 (single-task shopper-assist agent on LangChain + Shopify Storefront API) up to $300,000+ (full multi-agent retail platform spanning shopper-assist + dynamic pricing + inventory + returns + loss-prevention on LangGraph + CrewAI with Shopify Plus + Salesforce Commerce + Manhattan + Klaviyo + Square POS + CCTV vision) — PCI-DSS-ready, CCPA + GDPR + ADA compliant, SOC 2 Type II.
Reviewed by the DreamzTech AI Practice — updated 2026-05-15. Includes hands-on guidance from a Fortune 500 SaaS multi-agent CX platform (75% deflection, $2.1M saved), Series-D B2B SaaS multi-agent demand-gen crew (4.2× SQL lift, $14.2M Q1 pipeline) and multiple DTC + omnichannel retail engagements.
Six tightly-scoped tracks for AI-driven retail — strategy + commerce architecture, shopper-assist + conversational commerce, dynamic pricing + inventory, returns + reverse logistics, commerce + POS integration, and managed retail-AI operations.
Use-case discovery (shopper-assist, pricing, inventory, returns, loss prevention), commerce-stack fit assessment (Shopify vs Salesforce Commerce vs commercetools vs SAP), multi-agent topology design, PCI-DSS + CCPA + ADA roadmap.
Production agents for pre-purchase shopping, product discovery + visual search, post-purchase support, returns, order tracking — on LangGraph + Anthropic Claude 3.5 + CLIP visual search + Shopify Storefront API + Magento + Salesforce Commerce.
Five-agent pricing crews — Demand Forecaster, Elasticity Modeller, Pricing Strategist, Approver, Auditor — that adjust price + promotion in real time on CrewAI + Claude 3.5 + competitor-price scrapers + price-elasticity models with brand-voice + margin guardrails.
Production agents for demand-driven replenishment, assortment optimisation, store-to-store transfer, omnichannel inventory accuracy, RFID + CCTV-based shrinkage detection — on LangGraph + computer-vision models + Manhattan Active + Microsoft Dynamics Commerce + RFID middleware.
Native integration with Shopify (Plus + Hydrogen), Magento + Adobe Commerce, BigCommerce, Salesforce Commerce Cloud B2C + B2B, commercetools, SAP Commerce + Hybris, NetSuite SuiteCommerce, Microsoft Dynamics 365 Commerce, Manhattan Active, IBM Sterling OMS, Square, Lightspeed, Toast, Klaviyo, Braze, Bloomreach + 50+ retail tools.
24/7 production observability, prompt versioning, brand-voice + conversion-rate drift monitoring, peak-season scale-up (Black Friday + Cyber Monday + holiday), quarterly model upgrades and named SRE with retail-experienced engineers.
AI retail agents are the right move when conversion rate stalls, returns + reverse-logistics overwhelm ops, customer service swamps the contact centre at peak season, inventory accuracy drifts across channels or shrinkage rises year over year.
A production AI retail agent platform delivers measurable ROI within 60–90 days. DreamzTech deployments and industry benchmarks show 300%+ conversion lift at hesitation moments, 60–75% support deflection, 10–20% AOV lift via personalised recommendations, 20–35% returns-rate reduction via better pre-purchase fit, 1–2% revenue lift from dynamic pricing and 15–25% shrinkage cut via CCTV vision + RFID — with PCI-DSS-aligned tokenisation, CCPA + GDPR consent gates and ADA accessibility on every customer touchpoint.
See real production proof in our AI Customer Support case study (75% Tier-1 deflection · $2.1M saved) and the multi-agent crew case study (4.2× SQL lift · $14.2M Q1 pipeline).
Every production AI retail agent we build follows a six-layer reference architecture covering perception, reasoning, memory, action, guardrails and observability — the blueprint that lets retail agents scale from one shopper-assist intent to enterprise-wide omnichannel automation while staying PCI-DSS + CCPA + GDPR + ADA compliant at BFCM peak.
Ingest shopper events from Shopify / Magento / Salesforce Commerce, in-store POS (Square + Lightspeed + Toast), CCTV vision + RFID, CDP (Segment + Amperity), web behaviour (Heap + Mixpanel) and customer chat + voice — with intent classification, PII redaction + PCI tokenisation at the door.
Foundation-model LLM (Claude 3.5 Sonnet, GPT-4o, Llama 3.3) + vision models (CLIP, Segment Anything) plan the experience, retrieve catalogue + inventory + price-elasticity + customer-360, route between Intake → Personalizer → Resolver → Approver → Supervisor specialist agents.
Short-term session scratchpad, long-term vector memory of every prior shopper interaction (Pinecone, Weaviate, OpenSearch), customer-360 episodic memory stitched from CDP + commerce + POS + loyalty + ad-platform data for true omnichannel personalisation.
Tool-use, function calling and Model Context Protocol — agents invoke Shopify, Magento, Salesforce Commerce, commercetools, NetSuite, Manhattan, Klaviyo, Braze, Square, Lightspeed + payment processors (Stripe, Adyen, PayPal) to add to cart, adjust price, process refund, replenish stock, send personalised offer.
PCI-DSS tokenisation (card data never reaches LLM), CCPA do-not-sell + GDPR consent + COPPA age-gate enforcement, FTC-ad-rule + claim-substantiation review, MAP-pricing compliance, brand-voice gate, ADA / WCAG 2.1 AA accessibility on every customer-facing message.
LangSmith / Langfuse / Arize tracing of every shopper interaction (PII-redacted); conversion + AOV + retention dashboards; brand-voice + claim-accuracy + FTC-compliance drift detection; immutable audit log for CCPA + GDPR data-subject requests.
Buyers compare DreamzTech's custom AI retail agents with Shopify-native plug-ins (Gorgias, Tidio, Fin, Skara), enterprise platforms (Salesforce Agentforce, Adobe Sensei, Bloomreach) and in-house builds. This section makes the trade-offs crisp so you choose the right pattern per workflow.
| Capability | Basic OCR Tools | Off The Shelf IDP | DreamzTech AI IDP |
|---|---|---|---|
| Document Understanding | Text extraction only | Predefined templates and workflows | Custom extraction, classification, validation and foundation-model LLMs based understanding |
| Workflow Fit | You build workflows separately | Limited to product configuration | Designed around your exact business process and approval flow |
| Integration | Manual export or API work | Connector dependent | Custom integration with ERP, CRM, accounting, databases and BI systems |
| Ownership | Tool dependent | Vendor platform dependency | You own the application, workflow and source code |
| Best For | Simple text extraction | Generic document automation | Enterprise teams needing secure, customized and integrated document processing |
Our retail-agent depth spans 8 high-volume sub-verticals — from DTC fashion + beauty brands running shopper-assist + visual search to grocery chains optimising replenishment, electronics retailers managing dynamic pricing and luxury brands automating clienteling.
Visual-search + size-fit + cart-abandonment + clienteling agents — Shopify Plus + Klaviyo + Loop Returns + Stitch Fix-style style-quiz integration.
Demand-forecasting + replenishment + recipe-aware substitution + click-and-collect orchestration — Microsoft Dynamics 365 Commerce + Manhattan + Instacart APIs.
Dynamic pricing + competitor-price intelligence + tech-support shopper-assist + bundle-recommendation — Salesforce Commerce + SAP Commerce + price-elasticity models.
Skin-analysis + shade-match visual-search + subscription-replenishment + loyalty + influencer-attribution agents — Shopify Plus + Klaviyo + Yotpo loyalty.
Project-builder + estimate + room-visualisation (AR/vision) + contractor-handoff agents — Magento + Adobe Commerce + computer-vision room-scanning.
Activity-based recommendation + size + skill-level + weather-aware shopper-assist + seasonal-replenishment — Shopify + Salesforce Commerce + weather APIs.
AI-augmented clienteling for SA + Personal-Stylist agents + VIP-shopper preference memory + concierge-quality voice agents — Salesforce Commerce + commercetools + private CRM.
Mobile-order + fuel-loyalty + age-verification + drive-thru voice agents + in-store-camera shrinkage detection — Toast + Square + Twilio Voice + custom POS.
Four real options exist for AI in retail. The right answer is usually a hybrid — Shopify-native plug-ins (Gorgias, Tidio, Fin) for SMB Shopify-only stores, enterprise platforms (Salesforce Agentforce, Adobe Sensei) for single-stack enterprises, in-house only for the top-5 retailers, and DreamzTech custom builds for multi-stack omnichannel + global retailers. Pair with our AI customer-service automation for shopper-portal CX.
Bring your toughest retail workflow — BFCM peak-season support, conversion-plateau on a $50M-GMV Shopify Plus store, returns spike on apparel, in-store shrinkage rising — and a senior retail AI architect will walk you through the recommended pattern (Claude/GPT-4o + Shopify/Salesforce Commerce + CCTV vision), an accuracy + conversion benchmark on representative shopper data, and a fixed-scope budget range. Live, free, 30 minutes.
AWS, Google Cloud and Microsoft Solutions Partner. Shopify-certified + Salesforce-Commerce-certified + Adobe Commerce specialists. 100+ AI agent deployments — including a Fortune 500 multi-agent CX platform (75% Tier-1 deflection, $2.1M saved) and a Series-D B2B SaaS multi-agent crew (4.2× SQL lift, $14.2M Q1 pipeline).
Tell us about your commerce stack (Shopify / Magento / Salesforce / commercetools), GMV scale, peak-season pain (BFCM + holiday), returns rate and which workflow to automate first. Senior architect responds within 1 business day with reference architecture, fixed-scope estimate and next steps.
Multi-agent retail platforms share the same engineering pattern as our multi-agent customer-support and multi-agent demand-gen deployments — Researcher → Personalizer → Resolver → Approver. Below are three production examples DreamzTech has shipped on LangGraph, CrewAI and AutoGen with deep commerce + CRM + martech integration.
Fortune 500 SaaS replaced 60% of its Tier-1 customer support with a DreamzTech multi-agent helpdesk on LangGraph + Claude 3.5 + Amazon Bedrock + Salesforce Service Cloud. 75% deflection, 42% FCR lift, $2.1M saved — the same triage + tool-use + escalation engineering retailers use for shopper-assist, order-status, returns and post-purchase support at BFCM peak.
A Series-D B2B SaaS deployed a DreamzTech multi-agent crew — CrewAI + Claude 3.5 + Apollo / ZoomInfo / 6sense + Salesforce + HubSpot — to research, qualify and personalise outreach. 4.2× SQL conversion lift, $14.2M Q1 pipeline, 67% productivity gain. The same Researcher → Personalizer → Writer → Reviewer crew design powers our retail clienteling + dynamic-personalisation agents.
A $1.2B-revenue specialty-chemicals manufacturer replaced 11-day month-end close with a DreamzTech six-agent finance automation platform on LangGraph + Temporal + Claude 3.5 + SAP S/4HANA. Close cut to 3 days, $850K saved, zero SOX findings — same engineering pattern multi-brand retailers use for marketplace reconciliation, returns finance, and CDP-attribution close.
AWS, Google Cloud and Microsoft Solutions Partner with Shopify-certified, Salesforce-Commerce-certified and Adobe Commerce specialists. 100+ AI agent deployments including Fortune 500 multi-agent CX and Series-D multi-agent demand-gen.
Structured four-phase delivery for PCI-DSS-clean, CCPA + GDPR + ADA-compliant retail automation — from use-case discovery to BFCM-ready production cutover and ongoing conversion + AOV optimisation.
We study your document types, processing workflows, error rates and integration requirements; we analyse 50–100 of your real documents to set AI model requirements and accuracy targets.
Cloud-certified engineers pick the right AI mix — AI document extraction for forms, AI language services for entities, foundation-model LLMs for understanding, human review for low-confidence pages — on AWS, Azure or Google Cloud under the chosen cloud's Well-Architected Framework.
We annotate historical documents, fine-tune custom-template and custom-neural models on your specific layouts and terminology, and iteratively validate accuracy against your team's manual processing results.
We build the complete cloud-hosted application — document upload portal, extraction review dashboard, exception-handling workflows, approval routing on workflow orchestration and reporting on your BI platform.
AWS, Google Cloud and Microsoft Solutions Partner-grade retail-agent platform — production-ready in 6–14 weeks. PCI-DSS tokenisation + CCPA / GDPR consent gates + COPPA age-gate + WCAG 2.1 AA accessibility + FTC-ad-rule + claim-substantiation review.
Every AI retail agent we deploy is wrapped in input + output guardrails — prompt-injection defence, PII / NPI redaction, brand-voice enforcement via a dedicated Reviewer agent, FTC-ad-rule + claim-substantiation review (no “best”, “first”, “only” without proof), MAP-compliance gate (no pricing below manufacturer-suggested floor), and constitutional rules tailored to retail tone. Anthropic Claude’s constitutional layer + AWS Bedrock Guardrails + Azure Content Safety layered so no unsafe message reaches a shopper.
Card data never reaches the LLM. We use Stripe / Adyen / PayPal / Worldpay token vaults — the agent only sees tokens and authorises operations under your refund + risk policy. PCI-DSS-aligned tokenisation on every checkout, refund and chargeback workflow. Annual PCI-QSA review pass on production deployments.
Our retail-AI platforms run on SOC 2 Type II-attested infrastructure (AWS, Azure, Google Cloud) with ISO 27001 / 27018 controls. BFCM-grade chaos testing — load-tested to 100× your typical traffic, with auto-scale, circuit-breakers, rate-limit-aware fallbacks. Holiday-readiness review four weeks before peak season.
CCPA consent + do-not-sell honouring, GDPR consent + right-to-erasure + data-portability automation, COPPA age-gate for kids-segment shoppers, EU AI Act conformity assessment for high-risk personalisation. Full DSR (data-subject-request) automation responds to consumer requests within statutory windows. Documented under NIST AI Risk Management Framework.
Every AI retail agent we ship is ADA-compliant and WCAG 2.1 AA-accessible — keyboard navigation, screen-reader-friendly responses, sufficient colour contrast, alternative text on every visual product card. Multilingual out of the box (English, Spanish, French, German, Portuguese, Mandarin, Japanese, Korean, Arabic, Hindi + 30 more) — critical for global retailers + e-commerce.
Deploy on your cloud tenant with private OpenAI on Azure, Anthropic Claude on Amazon Bedrock, or self-hosted Llama 3.3 / Mistral on Kubernetes — so customer + transaction data never leaves your security perimeter. Zero data retention agreements with all model vendors. Sovereign / on-prem deployment available for state-pharmacy + cooperative-grocery + government retail.
Info-sec foundation
Card data never reaches LLM
Consent + age-gate enforcement
ADA-compliant chat + voice
Claim-substantiation review
Brand + manufacturer protection
AWS / Azure / Google Cloud Well-Architected reviewed at every milestone. BFCM-grade scale-up + chaos-testing on every layer. PCI-DSS tokenisation + CCPA consent on every customer touch.
Real feedback from Chief Digital Officers, Heads of Ecommerce, VPs of Customer Experience and Heads of Merchandising running production AI retail agents built by DreamzTech on LangGraph, CrewAI and AutoGen.
Every AI retail project at DreamzTech is built on a PCI-DSS-clean, BFCM-scale production stack. LangGraph + CrewAI handle multi-agent commerce orchestration; Anthropic Claude, OpenAI GPT-4o, Llama 3.3 + vision models (CLIP, Segment Anything) handle reasoning + visual search; Model Context Protocol bridges Shopify, Magento, Salesforce Commerce, commercetools, NetSuite, Manhattan, Klaviyo, Braze, Square and Lightspeed. Explore our end-to-end implementation and managed AI agent services.
Behind the agent layer: AWS Lambda / Azure Functions, Amazon Bedrock / Azure OpenAI / GCP Vertex private LLM hosting, Pinecone / Weaviate / OpenSearch vector memory, and LangSmith / Langfuse / Arize observability — all inside your cloud tenant with customer-managed KMS keys + immutable audit logs ready for CCPA / GDPR data-subject requests.
Choose the engagement model that fits your retail-AI build — senior-led dedicated teams to fixed-price BFCM-ready MVPs.
Full-time team of AI agent engineers, prompt engineers, retail-process specialists, BFCM SREs and merchandising experts — typically 3 to 8 engineers — embedded for 6–18 months of build, integration and BFCM-ready operations.
Ideal for well-defined retail use cases — shopper-assist on Shopify Plus, visual search on apparel, dynamic pricing on electronics, returns automation — delivered as a fixed-scope MVP in 6–14 weeks on LangGraph + Claude 3.5.
Add senior AI agent engineers + retail commerce specialists (Shopify-certified, Salesforce-Commerce-certified, Adobe Commerce-certified) to your team — managed by DreamzTech, reporting into your tech leadership. 1–3 month minimum.
Flexibility for evolving retail-AI requirements — exploratory builds, agent R&D, prompt sprints, peak-season scale-up. Transparent monthly invoicing.
Multi-agent LangGraph + CrewAI commerce orchestration, foundation-model + vision LLMs (Claude 3.5, GPT-4o, CLIP, Segment Anything), customer-360 vector memory, Model Context Protocol and Shopify / Magento / Salesforce Commerce / Manhattan / Klaviyo integration — assembled into a production retail-AI platform in 6–14 weeks.
Three real options exist for AI in retail: Shopify-native SaaS plug-ins (Gorgias, Tidio, Fin, Skara — fast to deploy, Shopify-only, support-focused), enterprise platforms (Salesforce Agentforce, Adobe Sensei, Bloomreach — single-vendor lock, expensive), or commission a custom build. Each is right for different problems.
| Dimension | SaaS IDP | Hyperscaler APIs | Custom Build |
|---|---|---|---|
| Cost model | $3K–$30K/month + per-document fees | $0.001–$0.05 per page + dev cost | $50K–$400K project, no per-doc fees |
| Time to first production | Weeks to months (depending on document templates) | Days for prototype; 2–4 months for production | 3–9 months end-to-end |
| Customisation depth | Limited to vendor’s template + extraction patterns | API-level flexibility; no UI, workflow, or business-logic layer | Anything technically possible — full UI, workflow, business rules, IP ownership |
| Compliance posture | Vendor BAA / DPA; sub-processor chain often opaque | Cloud-provider BAA only; you build the rest | Full BAA chain validated end-to-end + your audit logs |
| Integration with your stack | Pre-built connectors for major ERPs / EHRs; uneven for niche systems | You build all integrations | Native integrations to your specific ERP, EHR, CRM, claims-management system |
| Accuracy on your documents | Vendor-trained models; 70–90% out-of-the-box on standard formats | Generic models; 60–85% on standard formats; lower on custom layouts | Custom-tuned to your documents; 90–98% achievable with proper training |
| MLOps + drift handling | Vendor-managed; you have limited visibility | You build your own MLOps | DreamzTech designs MLOps in from day one |
| Best for | Standard documents (invoices, receipts, generic forms) at modest volume | Engineering teams comfortable owning the IDP build end-to-end | Specialty documents, regulated workloads (HIPAA / GDPR), enterprise volume, multi-system integration, or where document accuracy is a competitive moat |
When DreamzTech is the right call: multi-platform omnichannel retailers running Shopify + Salesforce Commerce + Magento + custom B2B + marketplaces simultaneously; specialty workflows (CCTV-vision shrinkage, RFID inventory accuracy, apparel size-fit recommendation, luxury clienteling, regulated pharmacy retail) where off-the-shelf vendors do not cover the long-tail; BFCM scale where SaaS plug-ins hit rate-limits; or sovereign / on-prem deployments for state-pharmacy or grocery cooperatives. We build hyperscaler-native (Bedrock Agents, Azure AI Agents) too — and tell you up front.
Common questions from Chief Digital Officers, Heads of Ecommerce, VPs of Customer Experience, Heads of Merchandising and store-ops leaders evaluating AI agents for retail.
AI agents for retail are tool-using software systems built on foundation-model LLMs (Anthropic Claude 3.5 Sonnet, OpenAI GPT-4o, Llama 3.3) plus vision models (CLIP, Segment Anything) that automate ecommerce and brick-and-mortar workflows: shopper assistance, conversational commerce, dynamic pricing, inventory + assortment optimisation, returns + reverse logistics, visual search, loyalty + CDP segmentation, loss prevention + shrinkage detection, store-ops scheduling and last-mile logistics. They call Shopify, Magento, BigCommerce, Salesforce Commerce, commercetools, NetSuite, Manhattan, Klaviyo, Square POS and 100+ retail APIs via Model Context Protocol — with PCI-DSS tokenisation, CCPA/GDPR consent and ADA accessibility. Industry forecast: AI agents will drive 1.5% of US retail ecommerce sales in 2026 ($20.57B, ~4× 2025) (source: eMarketer). See our 75%-deflection shopper-assist case study.
Gorgias, Tidio, Fin, Skara and Salesforce Agentforce are SaaS plug-ins — they ship fast for Shopify-only customer-service use cases. They do not orchestrate across multi-platform commerce stacks (Shopify + Magento + Salesforce + NetSuite + Manhattan), do not handle specialty workflows (CCTV-vision shrinkage, RFID inventory, apparel size-fit, luxury clienteling) and hit rate-limits at BFCM peak. AI agents from DreamzTech are right when you need (a) multi-platform omnichannel coverage, (b) specialty workflows off-the-shelf does not reach, (c) BFCM scale, or (d) sovereign deployment. Best practice is hybrid — keep Gorgias/Tidio for SMB Shopify-only stores, layer DreamzTech custom agents on top for everything else. Compare with our AI customer-service automation solution.
Native integration with commerce: Shopify Plus + Hydrogen, Magento + Adobe Commerce, BigCommerce, Salesforce Commerce Cloud B2C + B2B, commercetools, SAP Commerce + Hybris, NetSuite SuiteCommerce, Microsoft Dynamics 365 Commerce. OMS / inventory: Manhattan Active, IBM Sterling, Oracle Retail. POS: Square, Lightspeed, Toast, Shopify POS, Clover, Vend. Marketing + CDP: Klaviyo, Braze, Iterable, Bloomreach, Mailchimp, Segment, Amperity, mParticle, Treasure Data. Loyalty: Yotpo, Smile.io, LoyaltyLion. Reviews: Yotpo, Trustpilot, Bazaarvoice. Connectors via REST, GraphQL Storefront APIs, MCP and webhooks. See our AI agent integration services.
A focused single-workflow agent MVP (shopper-assist on Shopify Plus + Klaviyo, or visual search on apparel) ships in 4–8 weeks. A multi-agent retail platform (shopper-assist + dynamic pricing + cart recovery, 4–5 specialised agents, Shopify + Klaviyo + CLIP vision, BFCM-ready) ships in 8–14 weeks. Enterprise omnichannel platform with multi-brand + multi-banner + multi-locale + CCTV vision + RFID + 24/7 holiday SRE — 14–22 weeks. All timelines include PCI-DSS scope, CCPA / GDPR consent gates, ADA accessibility review, and BFCM chaos-testing before any peak-season exposure.
A focused single-workflow retail agent MVP starts at $25,000–$50,000 (LangChain + Claude / GPT-4o, single commerce platform, 4–8 weeks). A multi-agent retail platform runs $75,000–$200,000 (LangGraph + CrewAI, 4–5 specialist agents, vector memory, Shopify / Salesforce Commerce / Klaviyo / Square POS integration, BFCM scale-testing, 8–14 weeks). Enterprise omnichannel platforms with multi-brand, CCTV vision, RFID, sovereign deployment + 24/7 SRE run $200,000–$400,000+. Most clients break even within 2–6 months on conversion lift + support cost reduction alone.
BFCM-grade chaos testing — we load-test to 100× your typical traffic four weeks before peak, with auto-scale on Bedrock / Azure OpenAI / Vertex (committed-throughput reserved capacity), circuit-breakers per downstream API (Shopify rate limits, Klaviyo SMS throughput, Square POS QPS), rate-limit-aware fallback chains (Claude → GPT-4o → Llama-3.3 self-host if a provider degrades), and brand-voice-preserving template fallbacks if an agent fully fails. Three-tier on-call: warm body during business hours, named SRE in escalation, 15-minute P1 acknowledgement Black Friday + Cyber Monday + Boxing Day. We have run BFCM for clients up to $50M-GMV-weekend scale.
Card data never reaches the LLM — Stripe / Adyen / PayPal / Worldpay token vaults isolate PAN. CCPA do-not-sell + GDPR consent + right-to-erasure automated via DSR endpoints. COPPA age-gate enforced for kids-segment shoppers. FTC ad-rule + claim-substantiation review on every outbound message (no “best”, “first”, “only”, “guaranteed” without documented proof). MAP-pricing compliance gate prevents below-floor pricing. WCAG 2.1 AA accessibility on chat + voice. Annual PCI-QSA review + CCPA-data-mapping audit pass on production deployments.
Data stays in your cloud tenant. We deploy on AWS, Azure or Google Cloud in your account, with private model endpoints (Claude on Bedrock, OpenAI on Azure, or self-hosted Llama 3.3 / Mistral on Kubernetes). Zero data retention agreements with all model vendors. PII redaction (Microsoft Presidio + retail-specific NER) on inbound + outbound. PCI-tokenised card data never reaches LLM. SOC 2 Type II + ISO 27001 + PCI-DSS + CCPA + GDPR + COPPA + ADA + FTC. Customer-managed KMS keys. Full DSR automation for consumer data requests. Sovereign / on-prem deployment available for cooperative-grocery + state-pharmacy + government retail. See our AI agent development hub.
