Skip to content
All sectors

Commerce & marketplaces

Stop discounting blind and stop answering the same ticket twice.

Retail margin leaks in three predictable places: stock you forecast wrong, prices you set by habit, and support volume you answer by hand. All three are tractable with the data already sitting in your order tables.

Book a free AI auditTalk to an engineer

40% of support tickets fully automatable

What we usually find

The cost lines that keep showing up

Forecasting in spreadsheets, so overstock and stockouts happen in the same week

Prices and promotions set by rule of thumb rather than elasticity

Support agents retyping the same order-status answer hundreds of times a day

Product catalogues with thin descriptions that never surface in search

Deployments

6 things we know how to ship here

What the audit usually finds first: support ticket mix: the majority are order-status and returns (high saving); forecast method: spreadsheet averages with no seasonality (high saving); markdown policy: a fixed schedule regardless of elasticity (medium saving).

Demand forecasting by SKU and location

Forecasting

Forecast at the granularity you actually buy at, with seasonality, promotions and local events folded in.

Less capital trapped in overstock

Dynamic pricing & markdown timing

Optimisation

Estimate elasticity per SKU and recommend the markdown depth and timing that clears stock at the best realised margin.

Higher realised margin per clearance

Support automation with real order context

RAG agents

An agent grounded in your order, shipping and returns systems that resolves routine tickets rather than deflecting them.

Human agents freed for real problems

Recommendations & bundling

Recommenders

Move past 'customers also bought' to recommendations conditioned on basket, margin and stock position.

Higher basket value

Catalogue enrichment & visual search

Multimodal AI

Generate descriptions and attributes from product images, and let customers search by photo.

More of the catalogue becomes findable

Return abuse & payment fraud detection

Anomaly detection

Score orders and return patterns to catch the small fraction of accounts driving most of the loss.

Recovered fraud and abuse losses

Shopify / WooCommerce / custom · Warehouse & ERP sync · A/B tested rollout · Realtime inference API

Other playbooks

Sectors we also work in

Operating somewhere else? The audit looks at workflows, data and cost, not at your industry code. If we don't think we can help, the first call is where we'll say so.