Retail & E-Commerce
AI across every team. Spend under control. Customer data protected.
Merchandising, marketing, customer service, and supply chain teams are all using AI tools — approved and shadow. Your customer-facing agents are making decisions at scale. Olakai gives you visibility and cost control across all of it, with full visibility into what every tool is touching and what every agent is spending.
Your AI footprint is larger than any single team knows.
Your merchandising team uses AI for demand forecasting. Marketing uses Copilot and Jasper for content at scale. Customer service is running AI agents handling thousands of returns and inquiries a day. Supply chain teams have three AI tools that procurement didn’t approve. The AI footprint is real — and nobody has a unified view of what it’s spending or returning.
When AI spend spikes before peak season, you need to know which team is driving it before the invoice arrives. When a customer-facing agent starts behaving unexpectedly, you need the audit trail before it becomes a customer complaint. And when a new privacy regulation asks what AI tools are touching customer data, your CDO needs a complete answer — not a guess.
By the Numbers
Retail organizations with AI in customer-facing workflows report 40–60% variation in agent performance by season — but fewer than 20% have continuous monitoring in place to catch issues before customers do.
Seasonal spikes in AI usage create seasonal spikes in risk. You need visibility before the season, not after.
Flexible deployment — SaaS by default, private cloud when your data policy requires it.
Olakai runs as SaaS out of the box — the fastest path to visibility across your AI tools and agents. For retailers with strict customer data policies, regional data residency requirements, or enterprise security standards that prohibit third-party data processing, Olakai also deploys inside your own AWS, Azure, or GCP tenancy, or fully on-premises. Most retail teams start with SaaS. The option to bring it inside your perimeter is there when you need it.
- SaaS deployment: immediate visibility into AI tools, agents, and spend — no infrastructure work required
- Private cloud or on-premises: available for enterprise retailers with strict customer PII or data residency requirements
- CCPA, GDPR, and regional privacy regulation compliance supported across both deployment models
- Same audit trail and governance capabilities whether you run SaaS or on-prem
Two lenses, one platform
Olakai is one platform, one data model, one set of controls. Olakai Assistive and Olakai Agentic are the two lenses you use to look at it — they share data, share context, and share Kai. What you see in one lens is immediately visible in the other.
Olakai Assistive
Track every AI tool your merchandising, marketing, operations, and support teams are using — approved and shadow. License utilization across every seat. Time saved per workflow. The complete picture of how AI is spreading across the organization and what it’s actually returning.
Olakai Agentic
Govern every customer-facing and operational agent — recommendation engines, customer service chatbots, returns automation, inventory agents — with full execution logs and policy enforcement before customer impact. Also measures AI coding tool ROI for the engineering teams building your e-commerce platform: token spend by provider, team, and developer, with run-rate forecasting before the invoice arrives.
Olakai Assistive — Cross-team AI visibility
One view of every AI tool across every team.
Olakai Assistive surfaces every AI tool in use across merchandising, marketing, customer service, and supply chain — approved licenses and shadow AI alike. Ranked by adoption, value created, and data exposure risk. When you need to answer “what AI tools are we running across the organization?” this is the view that gives you the answer in seconds, not weeks.
- Every AI tool in use surfaced — approved, shadow, and consumer apps across all teams
- Value created and time saved by team, department, and tool — not just adoption counts
- 630+ tools tracked; shadow AI surfaces highlighted with risk and data exposure classification
Olakai Agentic — Customer-facing agent governance
Know what every agent is doing before customers tell you something’s wrong.
Olakai Agentic gives you a real-time view of every AI agent in your retail environment — customer service chatbots, recommendation engines, returns automation, inventory agents. Execution volume, policy status, performance trends. When an agent starts behaving unexpectedly — before peak season, during a promotion — you see it in the platform, not in your NPS score.
- Real-time visibility across every customer-facing and operational agent
- Policy violations caught before they reach customers or generate regulatory exposure
- Seasonal performance monitoring — catch degradation before it becomes a customer impact
The KPIs that matter in retail & e-commerce
Every pillar gives you a different lens on AI performance. Here are the metrics Olakai actually measures — across every vendor, every team, across every vendor and team.
Olakai Assistive
AI tools in use across merchandising, marketing, and operations — approved and shadow
Every tool surfaced, ranked by adoption, value, and data exposure risk
License utilization: active vs. idle seats across every AI copilot
By tool, team, and individual — reclaim before the next renewal
Time saved per team member per week by department and workflow
Hours recovered from AI-assisted work, not just adoption counts
Prompt policy and data handling compliance rate
Percentage of AI interactions meeting your data handling and usage policies
Olakai Agentic
Customer-facing agent executions with complete audit trail
Every input received, tool called, decision made, and outcome — per execution
Policy violations caught before customer impact
Enforcement at the workflow level, before the bad experience happens
Engineering team AI coding tool spend by provider and team
Normalized across Cursor, Copilot, Anthropic, and OpenAI in one view
Run-rate month-end forecast — alerts at 50%, 80%, 100% of budget
Trajectory problems visible weeks before they become invoice surprises
Why Measurement Changes Everything
From Scattered AI Spend to Unified Cost Control
Multiple vendor bills, no unified view, no forecast. Olakai consolidates every AI spend signal — copilots, coding tools, agent infrastructure — into one view with run-rate forecasting. You know where the bill is headed before it arrives.
From Customer Agent Risk to Continuous Monitoring
Shipping a customer-facing AI agent without monitoring isn’t a launch — it’s a liability. Olakai logs every execution and enforces policy in real time, so you catch issues before customers do, not after.
From Shadow AI Tolerance to Governed Adoption
Every team is using AI tools you didn’t issue. That’s not a problem to solve — it’s a signal to capture. Olakai makes every tool visible, quantifies the risk and the value, and gives you the data to decide what to sanction and what to shut down.
Ask your AI program a question. Get a reasoned answer.
Kai synthesizes every Olakai data source — spend, adoption, agent logs, governance status — and answers in plain English. With the reasoning shown and the data behind every number.
“What’s our total AI spend this month across merchandising, marketing, and customer service?”
“Which customer-facing agents have had policy violations or unexpected behaviors in the last 7 days?”
“Which AI tools across the organization are touching customer PII without governance controls in place?”
Talk to an Expert.
See how Olakai connects AI spend to ROI across every team, from customer-facing agents to engineering — tailored to your stack, no pitch.