Run your store with a team of agents
E-commerce is a thousand small operations a day. Padiso agents manage catalog, pricing, and support so your team can focus on growth instead of busywork.
You know exactly where the day goes
- 1New listings go live with missing details and bad data
- 2Prices drift out of line with your competitors
- 3The support queue overflows the moment the team logs off
Time bleeds away
Skilled people spend their day on repetitive operations instead of the work only they can do.
Coverage has gaps
Work stops when the team logs off. Nights, weekends, and spikes go uncovered.
Handoffs cause errors
Every manual copy between systems is a chance to introduce a costly mistake.
The numbers behind agentic operations
You don't have to take our word for it. Here's what the analysts and operators are reporting right now.
23%
of organizations are already scaling agentic AI, with another 39% running experiments.
40%+
of agentic AI projects risk being scrapped by 2027 without clear value, a case for starting scoped.
83%
less research time for JPMorgan portfolio managers using AI agents, now running 450+ use cases in production.
Most teams reach payback within a quarter or two of going live.
Padiso estimate, based on typical e-commerce back-office workloads: hours saved on repetitive work, fewer errors, and coverage that no longer needs extra headcount. Your mileage depends on volume and the processes you automate first.
It already works at this scale
Not a demo. A team in the same kind of work, with results they published.
Walmart
Retail · merchandising
Walmart’s multi-agent Trend-to-Product engine watches social and search trends, generates product concepts, and feeds them straight into sourcing, compressing production timelines.
trends → SKUs
automated pipeline
multi-agent
engine
faster
time to shelf
The strongest results come from scoped use cases with connected data and clear KPIs, and from keeping humans in the loop on the hard cases. That is exactly the model Padiso is built around.
Your e-commerce agent team
A coordinated team of specialist agents, each connected to your tools, all working toward one goal.
Catalog agent
workingCreates and updates listings, enriches product data, and fixes errors.
Pricing agent
workingMonitors competitors and adjusts pricing within the rules you set.
Support agent
workingAnswers customers, processes returns, and escalates edge cases.
What the team ships
How Padiso works in e-commerce
- 1
Spot the busywork
Start with the repetitive e-commerce work that drains your team.
- 2
Hire your agent team
Specialists like Catalog agent and Pricing agent.
- 3
Connect your systems
Agents reach your existing tools and records through MCP.
- 4
Approve & run
You approve the calls that matter. Agents handle the rest, 24/7.
24/7
storefront operations and support
Other industries
Healthcare
Run healthcare operations with an agent team
Hospitality
Delight guests with always-on agent teams
Private Equity
Standardize operations across your portfolio
Financial Services
Automate finance operations with guardrails
Legal
A legal ops team that never sleeps
Marketing
Run a marketing function on agents
Run your business on agents.
Start free, or talk to us about putting an agent workforce to work across your operations.