Commerce intelligence for modern trading teams
Every demand, pricing, margin and inventory signal across your channels — forecast, ranked and turned into the trading actions worth taking this week. Run by the AI Commerce Agent™, not another dashboard.
The signals that decide trading performance.
Demand signals
Search, traffic, basket behaviour and seasonality forecast by SKU, category and channel.
Price & margin signals
Competitor pricing, discount depth, promo cannibalisation and true contribution margin.
Inventory signals
Stock cover, lead-time risk, overstock exposure and lost-sale probability before it happens.
Customer signals
Cohort value, repeat rate, churn risk and channel-level acquisition efficiency.
Large-account signals for every commerce merchandising category.
Business developers and category managers need to know which large accounts are about to shift spend, which merchandising categories are drifting from plan, and where to focus the next conversation. NESTSIGNAL™ turns commerce merchandising category data into account-level signals — surfacing the accounts, categories and channels where a trading decision will move the most revenue.
Large account signals
Track spend velocity, category mix shift and basket changes for every large account — before the renewal conversation. Ranked by revenue at stake and timing to act.
Merchandising category intelligence
Demand, margin and stock-cover forecasts by merchandising category — so buyers and planners see which categories to promote, reprice or de-list before the next cycle.
Cross-channel signals
One signal model across storefront, marketplace, retail partner and wholesale — so every channel sees the same account and category view instead of siloed dashboards.
A commerce intelligence framework that ends in a trading decision.
Storefronts, marketplaces, ads, inventory and finance become one trading dataset.
Demand, margin and stock risk predicted by SKU and channel, with confidence bands.
Ranked pricing, promotion, buying and merchandising actions routed to the right owner.
Every trading decision and its outcome retrains the model for the next cycle.
Indicative ranges from NESTSIGNAL deployments. Your pilot establishes a measured baseline before any commitment.
Commerce intelligence — questions trading leaders ask.
- What is commerce intelligence?
- Commerce intelligence is the continuous analysis of trading data — demand, pricing, margin, inventory, promotions, channels and customer behaviour — combined into predictions and recommended trading actions. Instead of reporting last week's sales, it tells merchandising, marketing and supply teams what to price, promote, stock and stop this week.
- What does an AI commerce agent do?
- The NESTSIGNAL Commerce Agent™ watches every commercial signal across your storefronts, marketplaces and retail partners. It forecasts demand by SKU and channel, detects margin erosion and stock risk early, tests price and promotion scenarios, and issues a ranked list of trading actions with the expected revenue and margin impact of each.
- Which commerce platforms does it connect to?
- Shopify, commercetools, Salesforce Commerce Cloud, Adobe Commerce, Amazon and other marketplaces, plus GA4, Google Ads, Meta, Klaviyo, NetSuite, SAP and your data warehouse. Signals are unified into one trading model rather than kept in separate channel dashboards.
- How is this different from ecommerce analytics?
- Ecommerce analytics explains what already happened in one channel. Commerce intelligence predicts what happens next across every channel and attaches an owner, a deadline and a forecast value to each recommended action — then learns from the outcome of the actions you take.
- Can it forecast demand and margin by SKU?
- Yes. Forecasts are produced at SKU, category, channel and region level with confidence bands, and are reconciled against inventory cover, lead times and promotional calendars so merchandising and supply planning work from the same numbers.
- How quickly can a commerce team see value?
- Most retailers connect storefront, ads and inventory data in the first week and receive their first ranked trading briefing within ten working days. A 90-day pilot measures incremental revenue and margin before any longer commitment.
See your own trading signals in a live session
We connect a sample of your storefront, ads and inventory data and show the forecast, the margin at risk and the trading actions we would run next.