Search and discovery
A search box that understands people is often the fastest win, because shoppers who search are usually ready to buy.
- Natural-language searchUnderstands “red dress for a beach wedding under $150” and returns products that fit, not just keyword matches.
- Typos, synonyms and slangFinds “sneekers”, “trainers” and “kicks” without anyone maintaining a synonym list.
- Visual searchA shopper uploads a photo and sees the closest items you sell.
- Voice searchSpoken requests on phones and smart speakers get the same accurate results.
- Personalized rankingOrders results by what each shopper is likely to buy, weighted by your margin and stock.
- Automatic filtersBuilds filters such as size, material and fit from product data, even where suppliers left gaps.
- No-result recoveryShows the nearest alternatives instead of an empty page, and reports what shoppers could not find.
- AI merchandisingPromotes, pins or lowers products by rules you set, such as margin, season or overstock.
A person decides: which products are promoted and the business rules that ranking must follow.
Measured by: search conversion rate, searches with no result, revenue per search.
Personalization and selling
What a good store associate does in person, done for every visitor at once.
- Product recommendations“You may also like” and “bought together” lists that update with every click.
- Bundles and complete-the-lookSuggests sets that raise order value, priced by rules you approve.
- Shopping assistantA chat that answers product questions, compares options and adds items to the cart.
- Guided sellingShort quizzes that turn a shopper’s needs into a shortlist.
- Size and fit adviceRecommends a size from past orders, returns and product measurements.
- Virtual try-on and room previewShows clothing, eyewear, cosmetics or furniture on the shopper or in their room.
- Personalized pages and emailsHome page, category pages and emails arranged for each visitor.
- Ad-matched landing pagesBuilds the landing page to match the ad or search that brought the visitor.
A person decides: the brand voice, the claims the assistant may make and when it hands a shopper to your team.
Measured by: conversion rate, average order value, revenue per visitor, return rate.
Catalog and content
Search, ads and AI shopping agents all depend on accurate product data. This is where it gets fixed.
- Titles and descriptionsWritten from your product data in your brand voice, for thousands of products at a time.
- Attribute extraction and taggingPulls color, material, dimensions and compatibility from supplier sheets, PDFs and images.
- Image cleanup and alt textRemoves backgrounds, standardizes shots and writes alt text for screen readers.
- Translation and localizationAdapts content for each market, with units, sizes and terms converted.
- SEO data and structured markupKeeps meta titles, descriptions and schema.org product markup accurate.
- Review summariesA short, balanced summary built only from real customer reviews.
- Catalog cleanupFinds duplicates, wrong categories and missing fields.
- Supplier onboardingMaps a new supplier’s feed to your catalog format.
- Buying guides and articlesDrafts the guides and articles that answer what shoppers search for.
- Ad and social creativeProduces headline, copy and image variants ready for testing.
A person decides: what is published. You choose whether to review every item or a sample.
Measured by: time to list a new product, catalog completeness, organic traffic.
Pricing and promotions
Prices and offers that respond to demand, stock and competition, inside limits you set.
- Dynamic pricing with limitsAdjusts prices to demand, stock and competition between the floor and ceiling you set.
- Competitor price trackingWatches rival prices and stock and alerts you to gaps.
- Markdown planningTimes and sizes markdowns to clear stock at the best margin.
- Promotion targetingOffers a discount only where it is likely to change the outcome.
- Price sensitivity analysisShows how demand for each product responds to a price change.
- Offer and bundle testingRuns controlled tests and reports which version won.
- Shipping threshold tuningFinds the free-shipping threshold that raises order value without hurting margin.
A person decides: price floors and ceilings, and whether a shopper’s personal data may ever influence a price.
Measured by: gross margin, sell-through rate, promotion cost per extra order.
Forecasting and inventory
Running out loses the sale. Overstock ties up cash. Forecasting reduces both.
- Demand forecastingA forecast by product, channel and location from sales history, seasons, promotions and holidays.
- Reorder alerts and draft ordersWarns you before a product runs out and drafts the purchase order.
- Safety stock and reorder pointsSets them for each product from its demand pattern and supplier lead time.
- Warehouse allocationPlaces stock where demand will be, to cut split shipments and delivery time.
- New-product forecastingEstimates demand for a new product from similar items.
- Supplier lead-time trackingLearns each supplier’s real delivery times and flags the ones slipping.
- Returns forecastingPredicts how much will come back and when, so it can be resold.
- Assortment planningShows which products to add, keep or drop for each season.
A person decides: every purchase order above the limit you set.
Measured by: forecast accuracy, stockout rate, inventory turns, cash tied up in stock.
Marketing and retention
Keeping a customer is usually cheaper than winning a new one. AI finds who is ready to buy again and who is about to leave.
- Churn predictionScores each customer’s risk of leaving while there is still time to act.
- Lifetime value predictionEstimates what each customer will spend, so you know whom to invest in.
- Automatic segmentsGroups customers by behavior and updates the groups daily.
- Next-best offerPicks the product, message and incentive for each person.
- Send time and channelChooses email, text or on-site message and the hour each person responds.
- Cart and browse recoveryFollows up abandoned carts and viewed products with a relevant message.
- Win-back and reorder remindersReaches lapsed customers and reminds buyers when a product is due to run out.
- Subscription savesOffers a pause, a swap or a discount before a subscriber cancels.
- Loyalty personalizationMatches rewards and tiers to what each member values.
- Ad audiences and budgetsSuggests audiences and shifts budget toward the campaigns that bring repeat buyers.
A person decides: discount limits, how often a customer may be contacted and who must never be contacted.
Measured by: repeat purchase rate, churn, lifetime value, revenue per message.
Service and after the sale
Many support contacts are the same few questions. AI answers those and passes the rest to your team with the details.
- Order status agentAnswers “Where is my order?” with live carrier data.
- Returns and exchanges agentChecks your policy, issues the label and offers an exchange before a refund.
- Product questionsAnswers from your product data, manuals and policies, and cites where the answer came from.
- Voice agentHandles routine phone calls and transfers the rest with a summary.
- Reply draftingDrafts replies for your agents to check and send.
- Multilingual supportServes customers in their own language without a separate team.
- Delay noticesTells customers about a late shipment before they ask.
- Review requests and repliesAsks for a review at the right moment and drafts replies to the ones you receive.
- Feedback analysisFinds the themes in tickets, chats and reviews and reports them to product and operations.
A person decides: refunds above your limit, exceptions to policy and any complaint that needs judgment.
Measured by: share of contacts resolved without an agent, first response time, satisfaction score.
Operations and risk
The work between the order and the doorstep, and the losses that hide in it.
- Fraud screeningScores each order and holds the risky ones for review.
- Chargeback evidenceGathers the order, delivery and message records for a dispute.
- Return-abuse detectionSpots patterns such as serial returners and empty-box claims.
- Order routingPicks the warehouse and carrier for the lowest cost that still meets the delivery promise.
- Delivery date promisesShows an accurate delivery date on the product page and at checkout.
- Address checkingCorrects address errors before the label is printed.
- Invoice and supplier matchingMatches invoices to purchase orders and receipts and flags differences.
- Marketplace listing syncKeeps titles, prices and stock consistent across Amazon, Walmart and your own store.
- Ask-your-data analyticsAnswers plain questions such as “Which products lost margin last month, and why?”
- Anomaly alertsFlags a sudden drop in conversion, a pricing error or a checkout fault within minutes.
A person decides: whether a held order ships, account bans and supplier payments.
Measured by: fraud loss, chargeback rate, delivery cost per order, on-time delivery.
B2B and wholesale
Business buyers expect the same ease as consumers, with their own prices, terms and catalogs.
- Quote draftingBuilds a quote from a request, using the customer’s price list and your stock.
- Customer-specific pricingApplies contract prices and volume breaks without manual lookups.
- Reorder predictionPredicts when each account will need to reorder and prompts the buyer or the rep.
- Order entry from email and PDFReads purchase orders that arrive by email or PDF and creates the order.
- Sales rep assistantBriefs each rep on the account, open quotes and what to offer next.
- Account health alertsFlags accounts whose order pattern is slipping.
- Part and compatibility finderFinds the right part in a large catalog from a part number, a model or a description.
A person decides: non-standard pricing, credit terms and contract changes.
Measured by: quote turnaround time, order entry time, reorder rate.