Autonomous AI agents you own outright — deployed on your infrastructure, trained on your data, with full source code delivered to your team.
Retail and e-commerce operations demand AI that acts, not just answers. ibl.ai delivers a production-grade autonomous agent platform — not a pilot, not a SaaS subscription — serving 1.6M+ users across 400+ organizations worldwide.
From seasonal demand surges to omnichannel fulfillment complexity, retail teams need AI that monitors inventory, coordinates logistics, trains frontline staff, and surfaces customer intelligence in real time. Our agents reason, execute code, call APIs, and query your databases autonomously — without human prompting at every step.
Every deployment includes full source code ownership. Your team receives the complete codebase, runs it on your own infrastructure, and operates it indefinitely — with zero dependency on ibl.ai. PCI DSS alignment, air-gapped deployment, and no telemetry mean your customer and payment data never leaves your perimeter.
1.6M+ active users across 400+ organizations including NVIDIA, Kaplan, and Syracuse University. This is not a prototype — it is a platform with a live production track record.
You receive the complete codebase at deployment. Audit every line, modify any component, and extend the platform to fit your retail stack — no black boxes, no hidden logic.
Run on AWS, Azure, GCP, your own data center, or a fully air-gapped environment. Zero external dependencies means the platform operates even without internet connectivity.
Plug in Claude, GPT-4, Gemini, Llama, Mistral, or your own fine-tuned retail model. Swap models without re-architecting. No lock-in to any single AI provider.
If you never call us again after delivery, the system keeps running. Your team owns the platform, the data, and the roadmap. We are a delivery partner, not a dependency.
Every capability is accessible via RESTful APIs. MCP (Model Context Protocol) connects agents to your POS systems, ERP, WMS, CRM, and external data sources natively.
Agents continuously monitor inventory levels across warehouse and store locations, detect anomalies, cross-reference demand forecasts, and autonomously trigger reorder workflows or escalate to procurement teams — without waiting for a human to run a report.
MentorAI agents deliver personalized onboarding programs for seasonal and permanent staff, adapt learning paths based on role and performance data, assess competency, and issue verifiable credentials — all without L&D team intervention per learner.
Agents query transaction databases, behavioral data, and return histories autonomously, identify at-risk customer segments, generate actionable retention briefs, and trigger personalized outreach workflows — operating on a continuous cycle, not a monthly report cadence.
Agents monitor supplier feeds, logistics APIs, and weather or geopolitical data sources simultaneously. When disruption signals are detected, they autonomously model alternative routing options, calculate cost impact, and surface ranked recommendations to operations leads.
Agents analyze competitor pricing data via connected APIs, cross-reference margin thresholds in your ERP, and autonomously draft promotion recommendations or flag pricing inconsistencies across online and in-store channels for rapid approval.
Agents continuously analyze return transactions, cross-reference customer profiles, and identify coordinated return fraud patterns — then autonomously flag accounts, generate evidence summaries, and route cases to loss prevention teams with full audit trails.
Traditional chatbots answer questions. Autonomous AI agents take action, reason over context, and deliver measurable outcomes.
ibl.ai deploys autonomous AI agents that go beyond simple Q&A. Our agents reason, plan, and execute multi-step workflows while you retain full code ownership and infrastructure control.
The platform runs entirely within your infrastructure — on-premises, private cloud, or hybrid. No outbound connections required. Customer data, payment records, and behavioral data never leave your perimeter under any operating condition.
ibl.ai collects no usage data, no model inputs, no query logs, and no behavioral telemetry from your deployment. What happens in your environment stays in your environment — by architecture, not just policy.
Every agent action, API call, data query, and decision point is logged in a structured, immutable audit trail. Supports PCI DSS audit requirements, internal compliance reviews, and loss prevention investigations.
Multi-tenant architecture with granular RBAC ensures store managers, regional directors, IT admins, and frontline staff each access only the data and agent capabilities appropriate to their role — across unlimited organizational units.
Because you own the full source code, your security team can audit every line of the platform — no black-box components, no obfuscated logic, no trust-me-it's-secure SaaS promises. Full transparency at the code level.
Tenant-level data isolation with encryption at rest and in transit. Suitable for multi-brand retail groups requiring strict separation between business units, franchise networks, or regional entities.
Your security, compliance, and engineering teams can inspect the complete codebase. No hidden dependencies, no obfuscated modules, no third-party components you cannot review. Essential for PCI DSS and data governance requirements.
Need a custom integration with your ERP, a proprietary demand forecasting model, or a bespoke agent workflow? Your team modifies the source directly. No feature request queues, no vendor approval, no waiting for a roadmap update.
The source code runs wherever you need it — AWS, Azure, GCP, on-premises data centers, or air-gapped retail environments. You are not constrained by a vendor's hosting choices or regional availability zones.
The platform has no phone-home requirements, no license key servers, and no SaaS dependencies. If ibl.ai ceased to exist tomorrow, your platform would continue operating without interruption.
Source code ownership means your engineering team learns the platform deeply, builds internal expertise, and reduces long-term dependency on external consultants. The platform becomes a genuine organizational asset.
ibl.ai delivers the complete platform source code and deploys it to your chosen infrastructure — cloud, on-premises, or air-gapped. We configure your model connections, integrate with your POS, ERP, and WMS systems via API and MCP, and validate the environment against your security requirements including PCI DSS controls.
Working alongside your retail operations, IT, and L&D teams, we configure and build the specific autonomous agents your business needs — inventory monitoring, staff training, customer intelligence, supply chain response. We train your team on the platform architecture, agent design patterns, and extension points so internal capability is built from day one.
Your team takes the platform to production. You own the deployment, the codebase, the data, and the roadmap. ibl.ai is available for ongoing support and development partnerships — but the system runs, scales, and evolves entirely under your control, with no ongoing vendor dependency required.
Autonomous MentorAI agents deliver personalized onboarding at scale, reducing per-head training costs and compressing time-to-productivity for seasonal and permanent hires — critical during peak retail periods.
Agents monitoring inventory in real time and triggering reorder workflows autonomously reduce stockout frequency, protecting revenue during high-demand periods without expanding operations headcount.
Autonomous competitive pricing agents eliminate manual price monitoring and promotion inconsistency reviews, returning significant analyst time to higher-value strategic work.
Continuous agent-driven pattern analysis across return transactions outperforms static rule-based systems, reducing shrinkage from coordinated return fraud schemes.
Agents monitoring supplier and logistics feeds autonomously surface disruption alerts and ranked response options, compressing decision cycles from multi-day manual processes to sub-two-hour response windows.
Payment Card Industry Data Security Standard governs how cardholder data is stored, processed, and transmitted. AI platforms that touch transaction data, customer profiles, or payment workflows must meet strict access control, audit, and data isolation requirements.
Air-gapped deployment ensures cardholder data never leaves your controlled environment. Complete audit trails satisfy PCI DSS logging requirements. RBAC enforces least-privilege access. Full source code auditability supports QSA reviews without black-box components.
Customer behavioral data, purchase histories, and personalization profiles are subject to data privacy regulations requiring consent management, data minimization, right-to-erasure, and cross-border transfer restrictions.
Zero telemetry architecture means no customer data is processed outside your infrastructure. Tenant-level data isolation supports right-to-erasure workflows. No third-party SaaS processing eliminates cross-border transfer risk by design.
Enterprise retail organizations and their technology vendors increasingly require SOC 2 Type II attestation covering security, availability, and confidentiality controls — particularly for platforms handling customer intelligence and operational data.
Complete audit trails, RBAC, encrypted data isolation, and air-gapped deployment options provide the control evidence base needed to support your SOC 2 program. Source code ownership means your auditors can verify controls directly.
Multi-brand retailers and franchise networks must ensure strict data separation between business units, preventing cross-contamination of competitive intelligence, customer data, and operational metrics across franchisees or regional entities.
Multi-tenant architecture with tenant-level encryption and RBAC enforces hard data boundaries between organizational units. Each entity operates in an isolated environment within a single platform deployment — reducing infrastructure cost while maintaining compliance.
See how ibl.ai deploys autonomous AI agents you own and control — on your infrastructure, integrated with your systems.