Ziro Data connects clickstream, inventory and customer value in one knowledge graph, so search, recommendations and pricing follow what each shopper actually wants.
Recently built: campaign tracking and channel performance for an e-commerce brand.
The data problems e-commerce teams bring to us most. Each links to the service that fixes it.
Shoppers leave at the moment of decision because nothing personal or timely is offered to them.
Customer segmentation & LTVOld engines only repeat past purchases. They cannot understand what a shopper wants right now or compare technical features.
Custom AI assistantsBest sellers are priced too low while slow stock blocks the warehouse.
Demand forecastingProfit in e-commerce is decided in fractions of a percent. Three leaks add up fast.
Abandoned carts × average order value × the share that never converts because nothing smart follows up.
Profit lost when high-demand products run out because demand was not forecast from on-site search behaviour.
Ad budget × the share of traffic that never registers, engages or buys.
For $500,000 monthly sales, these three leaks add up to
about $85,000 a monthlost when shopper behaviour and stock data are not connected.
An example from our model, not a guaranteed figure. The audit calculates yours.Set your traffic, conversion rate and order value. The estimate shows extra monthly revenue from intent-based search and recommendations.
Illustrative estimate, not a promise. Assumes a 10% relative lift in conversion rate. Your real figure comes from the 7-day audit.
What changes when your data is connected in one knowledge graph. Results marked "Target" are what we aim for with every client.
Ordinary dashboards count events. A knowledge graph connects them, so the system understands why things happen and can act on it.
Live actions linked to products by brand, colour, material and use
Products linked by how they are used together, not just co-purchases
Leaving without buying triggers a personal offer based on margin and behaviour
"Suggest a laptop under $1,000 for heavy graphics work with long battery life."
The engine returns the closest in-stock set of products, like a skilled salesperson would.Four starting points. Each answers one question your team asks every week, and links to the full service.
Checkout drop-off, dead-end site searches and a plan to raise order value.
Answers: Where are we losing buyers who wanted to buy?Data Health CheckIntent-based search and recommendations built on your product and stock data.
Answers: What should each shopper see next?Custom AI assistantsAutomated follow-ups and offers for abandoned carts, tuned to margin.
Answers: Which carts are worth saving, and how?AI workflow automationForecasts from sales and on-site search, so best sellers stay in stock.
Answers: What should we reorder this week?Demand forecastingStart with a fixed-price audit. Move up only when the numbers justify it.
7-day audit of checkout drop-off and site search, with an action plan to raise AOV.
$1,500Fixed priceStart with the auditProducts and stock in one knowledge graph, smart text and voice search, personalised landing pages.
Setup + monthlyMonthly fee scales with successful transactionsAsk about coreAI agents that recover abandoned carts, run win-back campaigns and adjust discounts to margin.
Base + share of recovered profitPerformance-basedAsk about scaleResults in brackets are filled in once the client approves publishing them.
No new platform to buy. We connect what you have and keep everything in your accounts.