Catalogue · stock · price · serve
Stores and online,on one stock record.
Product content built from supplier sheets and images, orders proposed from forecast, shelves watched by camera, customers answered on any channel, and every channel's money matched to its orders.
Retail is one stock record, and most retailers have several.
THE PROBLEM
Product data is entered separately for the shop system, the website and each marketplace. Store managers reorder from instinct, so one store is out of stock while another is overstocked. A gap on the shelf is found by a customer. Order status, returns and complaints arrive on every channel and are answered on none of them quickly. Supplier invoices are matched to receipts by hand, and marketplace payouts are reconciled to orders in a spreadsheet, if there is time.
HOW SOLONOMOUS DOES IT
We put the catalogue, the stock and the money on one record and automate the work around it. Attributes are extracted from supplier sheets and images and pushed to every channel. A demand forecast per item and store proposes the order, and a manager approves it. Cameras watch shelves and post gaps. An assistant answers customers on every channel from the order record. Supplier invoices are matched to receipts and marketplace payouts to orders, and only the differences reach a person.
WHAT YOU GET
A product is listed everywhere from one entry. Stock is where the demand is. Shelf gaps are filled before a customer finds them. Customers get answers when they ask. The books reconcile because every channel's money is matched to the orders that earned it.
Workflows
What we automate here.
7 workflows
- 01
Catalogue and product content
TODAY
Product attributes, descriptions and images are entered by hand into the shop system, the website and each marketplace, in each one's format.
AUTOMATED
Attributes are extracted from supplier sheets and images, descriptions are drafted for a person to approve, and the product is published to every channel from one record in each channel's format.
- 02
Replenishment
TODAY
Store managers reorder from instinct and last week's sales. One store runs out while another marks down the same item.
AUTOMATED
A demand forecast per item and store, from your own sales and calendar, proposes orders and transfers. A manager approves them, and purchase orders are raised to suppliers from the same record.
- 03
Shelf and stock monitoring
TODAY
Shelf gaps and misplaced items are found by staff walking the floor, or by customers. Stock counts are a night's work with a scanner.
AUTOMATED
Cameras watch shelves and post gaps, misplacements and planogram differences to the store team as tasks. Counts run from the same images between the physical counts you still do.
- 04
Customer service
TODAY
Order status, returns, exchanges and complaints arrive by phone, chat, email and social channels and are answered by agents looking across several systems.
AUTOMATED
An assistant answers from the order and stock record on every channel, in the customer's language, and starts a return or exchange within the rules you set. A complaint or an exception is handed to an agent with the history attached.
Done with
- 05
Pricing and promotions
TODAY
Price changes and promotions are planned in spreadsheets and keyed into each channel, with the effect worked out afterwards.
AUTOMATED
Rules and the forecast propose price changes and promotions per item and channel, with the expected effect shown. A manager approves, and the change is published everywhere at once.
- 06
Supplier invoices and settlement
TODAY
Supplier invoices are matched to purchase orders and goods receipts by hand, and short deliveries and price differences are argued about later.
AUTOMATED
Each invoice is read, matched to its purchase order and receipt and posted. A quantity or price difference is routed to the buyer with all three documents shown before anything is paid.
- 07
Marketplace and channel reconciliation
TODAY
Marketplace payouts, commissions, returns and gateway settlements are reconciled to orders in a spreadsheet at month end, or written off.
AUTOMATED
Every payout and settlement file is matched to its orders, fees and returns as it arrives. Matches post to the ledger; differences are routed to finance with the channel's statement attached.
Done with
Engagement
How it starts in a retail business
One product, followed from the supplier's sheet to the settled sale.
- 01
Follow one product
We trace an item from listing to reorder to sale to settlement across stores and channels, and list every place its data is typed again or its money is matched by hand.
- 02
Pick the first workflow
Usually catalogue content or replenishment. We agree the rules, what a buyer or store manager still approves and how a customer reaches a person.
- 03
Run it in a few stores
The automation runs in a small set of stores or one channel for an agreed period. Proposals and matches are compared with what the team did, and the rules and forecast are tuned.
- 04
Roll out, hand over, or keep running
It extends store by store. Your team takes it on with the runbooks and code, or we run it under your keys.
Details
On the spec sheet.
- Systems integrated
- Point-of-sale and e-commerce platforms, marketplaces, warehouse and stock systems, supplier portals, payment gateways, accounting (Tally, Zoho, SAP and others), messaging and telephony
- Data handled
- Product attributes and images, sales and stock per store, forecasts, purchase orders and receipts, customer orders and returns, supplier invoices, marketplace settlements
- Compliance considerations
- GST invoicing and e-invoicing where they apply, Legal Metrology labelling on product content, customer consent under the DPDP Act, card data kept with your payment gateway and out of our systems
- Deployment
- In your cloud region or run by us under your keys; shelf cameras processed on edge devices in the store
- Languages
- Customer assistants in the languages your customers write and speak; product content in the languages of each channel
- Hand-over
- Runbooks, source code, channel integrations, model weights and the forecast's training pipeline, with your team trained to retrain and redeploy
Proof
Case studies
Questions
Asked before we start.
Does the forecast place orders on its own?
It proposes them. A manager or buyer approves, and the purchase order is raised from the approval. Where you want small, routine orders to pass on rules alone, that limit is yours to set and every order it places is logged.
Can it work with the marketplaces and platforms we sell on?
Where a channel offers an API or a settlement file, we use it. Where one offers neither, a bot works through the seller portal under your account, with every action logged.
Do shelf cameras record customers?
They watch shelves, not people. Images are processed on a device in the store, only shelf state is kept, and the fields of view are set with you and documented.
What happens to a customer who wants a person?
They get one. The assistant hands over with the conversation and the order history attached, and a customer can ask for a person at any point.
Do we need the SoloOne suite?
No. Where you already run a point-of-sale, stock and accounting stack, we connect to it. Where stock lives in several systems that disagree, the suite's Inventory, CRM and Invoicing modules are one way to put stores and online on a single record.
Start
Tell us what your teamstill does by hand.
We map the workflow with you and say plainly what can run on its own, what should not, and what it takes.