Support automation
Order status, returns, and standard questions answered instantly across email and chat, with real issues routed to a person with the history attached.
Olvoma · Industries · Retail & eCommerce
Every channel, one operation
Selling in three places means running three systems that disagree. We connect the storefronts, the inventory, and the support inbox into one operation — and put the numbers on one screen.
01Where the day goes
The hours nobody budgets for
Support
"Where's my order?" is half the inbox, and every answer means opening three tabs.
Inventory
Stock lives in the store system, the webstore, and a spreadsheet — and they agree on nothing.
Listings
New products get created three times, slightly differently, and the differences become returns.
Numbers
Margin by product and channel is a quarterly archaeology project instead of a glance.
The channels multiplied. The back office didn't. Software closes that gap.
02What we build here
Built for retail & ecommerce
Inventory synchronization
One count, every channel — POS, webstore, marketplaces — reconciled continuously, with alerts before something oversells.
Order operations
Orders from every channel flowing into one fulfillment queue, with shipping, invoicing, and notifications handled without copy-paste.
Sales dashboards
Revenue, margin, returns, and stock cover by product and channel — live, and drill-down to the SKU.
03Example systems
Systems we would put in
Honest examples, not case studies: this is what a first working system typically looks like in retail & ecommerce, and the effect we'd agree to measure it by.
WISMO deflection agent
An agent that answers where-is-my-order across channels from live carrier and order data — instantly, at any hour, in your tone.
The point
Half the inbox answers itself
Stock truth service
A reconciliation layer between POS, webstore, and marketplace stock, catching drift the hour it appears instead of the week it oversells.
The point
Overselling stops being a weekly apology
Channel P&L board
Fees, shipping, returns, and ad spend allocated per order — so channel profitability is a fact, not a debate.
The point
Margin by channel becomes a glance
04Integrations
We connect to what you already run
We don’t ask you to change your system of record. We connect to it — through an API, EDI, or direct data access. And where the integration doesn’t exist, we build it.
Works alongside
- Shopify
- Amazon
- eBay
- WooCommerce
- Square
- Lightspeed
- ShipStation
- Stripe
- QuickBooks
- Klaviyo
05How we work
Product speed, engineering quality
- 01
Learn the operation
We sit inside the process and watch how it runs today — the steps, the exceptions, the judgment calls, and every tool it passes through.
- 02
Show a working version
Not a mockup and not a deck. The first version you can actually use, in weeks rather than quarters.
- 03
Put it into real work
The system goes into your environment and connects to what you already run. It takes the routine path and hands the rest to a person.
- 04
Measure, then extend
We agree what better means before we start — time, errors, throughput — and report against it. The next process begins once the first one has earned it.
06Questions we hear
Fair questions
We're mid-migration between platforms. Bad timing?
Usually the best timing — the integration layer we build makes the migration safer, and the dashboards tell you whether the new platform is actually performing.
We're a small operation. Is this for us?
Our default client is a real operation, not an enterprise. If a process eats hours every day, the math usually works from a handful of people up.
Where does our data live?
In your environment, under your access rules. Every automated decision is visible, explainable, and reversible, and the code, data, and documentation belong to you.
What does this cost?
A first working system is a fixed-scope, fixed-price project — you know the number before we start. We agree what better means (time, errors, throughput) and report against it.
Start with the process that costs you most
Tell us about the work your team dreads. We'll come back with what a working system would look like — and what it would take to prove it.