AI Ecommerce
Intelligence Solutions

Track product visibility, content quality, and Share of Shelf metrics across 70+ retailer sites. One client’s system has run continuously for over seven years, monitoring pricing, availability, and listing accuracy for enterprise CPG brands.

959,000 products monitored daily. Coupons, promotions, competitor price changes — captured from marketplaces where official APIs don’t cover what you need. AI pricing increases margins by 5–15% according to McKinsey research.

Aggregated data from multiple marketplaces in a single view. We built a system pulling 5.5 million product listings per session from fashion resale platforms alone, cutting infrastructure costs by 65% through smart proxy rotation.

Minimum Advertised Price violations, unauthorized resellers, grey market activity — flagged the moment they appear. One client uncovered a distributor running 40% off for months without anyone noticing. Continuous compliance monitoring across every channel where your products show up, with automated takedown workflows ready when you need them.

Track what your competitors spend on Amazon Ads, Walmart Connect, and Kroger Precision Marketing. Which keywords they’re bidding on, what their share of sponsored shelf looks like, and where their budget is shifting week to week. The same scrapers and parsers behind organic monitoring extended to the paid layer — so your media team plans against real numbers, not assumptions.

Your customers leave reviews across 50+ platforms, in five languages. Our system reads all of them — 350K+ reviews processed into reports your team can actually use. What do people love? Where do complaints cluster? How does your sentiment stack up against the competition? You get those answers without reading a single review. Not just star ratings — actual reasons behind the numbers.

From raw marketplace data to Tableau dashboards your commercial team actually uses. One system we built tracks 300K+ products weekly across 13 retailers, feeding both competitive intelligence and marketing spend optimization.

A standalone forecasting capability — not a footnote inside the ML stack. Models trained on your sales history, seasonality, promotional calendars, and external signals like search trends and weather. Especially valuable after the supply chain disruptions of recent years, when inventory bets cost more than they used to.

Stock-level tracking goes beyond a column in a dashboard. Out-of-stock prediction models flag risk before shelves go empty, and competitor stockout detection triggers an opportunity alert — “your competitor just sold out of SKU X, raise your ad bid now.” A use case that pays for itself the first week it runs.

Computer vision applied to product imagery across retailer sites. Is your hero image the right one? Has a competitor refreshed their packaging? Does the lifestyle shot match brand guidelines on every marketplace? Image-level monitoring catches what text-only scraping misses.

Beyond automated repricing — the system acts on its own across the workflows that used to need a human in the loop. Auto-refreshing PDP content when competitors update theirs, triggering ad bid changes when share of voice drops, alerting suppliers the moment stock crosses a threshold. Insight without action is just a dashboard. This layer closes the loop.

Your team asks the question; the system answers. “Why did my buy box share drop last Tuesday?” — and the copilot pulls the underlying data, explains the cause, and suggests the next move. No SQL, no waiting on the BI team. Built on top of your own data, not a generic LLM staring at someone else’s catalog.

Marketplace data only tells half the story. We connect external signals to your CRM and CDP so you can answer questions like “what is my loyal customer buying from a competitor?” The internal and external pictures finally line up in the same view.

TikTok Shop, Instagram Shopping, and the next platform your customers move to. Each one has its own structure, its own rules, its own data — and we treat it the same way we treat Amazon: a source to be parsed, normalized, and folded into the same intelligence layer.

For brands operating in the EU, eco-claims and greenwashing detection on competitor listings is becoming a real requirement. We monitor sustainability messaging, certifications, and packaging claims across the shelf — niche today, table stakes by the next regulatory cycle.