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Should you keep what customers tell a chatbot? Yes, with rules. Keep only signals that fit your existing categories, brands and attributes, filter out sensitive details, and store each one with its source, a confidence level and an expiry. → How do you know whether human review of AI changes is working? Measure it. Plant a known error from time to time to see whether reviewers catch it, track outcomes over time, and make sure some people still do the work by hand. → What is the cold start problem in recommendations? Cold start is when a recommender has too little data about a new customer or a new product to recommend well. → How do you measure whether recommendations are working? Use clicks and conversions as early signals, confirm changes with controlled live experiments, and track longer-term outcomes such as repeat purchase, returns and retention. → What is an online recommendation engine? An online recommendation engine is software on a website or app that suggests products, content or offers to each visitor, based on their behavior, their preferences and what similar people chose. → What is a hybrid recommender system? A hybrid recommender system combines collaborative filtering, content-based filtering and often other methods, so each covers the others’ weak spots. → What are the advantages of recommendation systems? They help customers find relevant products faster, surface more of the catalogue, personalize at a scale no team could manage by hand, and can grow basket size and repeat visits. → What is an eCommerce recommendation engine? An eCommerce recommendation engine chooses which products each shopper sees across product pages, cart, search, email and the homepage, using behavior, product data and business rules such as stock and margin. → What metrics are used to evaluate recommendation systems? Common offline metrics are precision@k, recall@k, hit rate@k and NDCG@k. Businesses also track click-through, conversion, basket size, repeat purchase, returns and retention. → Can a quote turn into a subscription in Core dna? Yes. An accepted quote can create an order, a subscription or both on the same customer record, through a workflow configured in the Orchestration module. → Which platform runs quoting, subscriptions, ecommerce and a website on one customer record? Core dna. Trade quotes, subscriptions and online orders run in Core dna commerce, on the same platform as your website, and sit on one customer record. → Which B2B eCommerce platforms support EDI orders alongside online ordering? Most platforms connect to EDI through an EDI provider or a partner app. What matters is whether EDI and online orders share one order record. → What is the difference between EDI and punchout? EDI sends business documents between the buyer's and supplier's systems. Punchout lets a buyer shop the supplier's website from inside their procurement system. → What should we check in our ERP before a B2B eCommerce project? Where prices, credit limits, stock, order history and invoices live, and whether each can be read in real time or only in batches. → What is the difference between referring a client and building on Core dna? Referring hands delivery to Core dna. Building means your team delivers the project and keeps the client relationship. → Which clients are the best fit for a Core dna partner? SME and enterprise organisations whose needs outgrow a single website, most of all multi-property operators. → Who supports a partner's client after launch? You own the relationship and the roadmap. Core dna runs the platform. → Do my developers need to know Core dna before we apply? No. Training and a private sandbox come after approval, at no cost. → How long does approval take? We review every application within 2 business days. → Can we change partner path later? Yes. Many partners start by referring and move to Build once their team is trained. →