Episodes

  • "The product brain" : in conversation with Piotr Zaleski, Ingrid
    Apr 26 2026
    In this episode we talk about how AI changes both customer experience and enterprise value. Ian Jindal speaks with Piotr Zaleski, Founder & CPTO of Ingrid, about delivery as one of the last hard problems in digital retail: fragmented carriers, messy operational data, customer promises, conversion, margin and loyalty all bound together. What makes the conversation distinctive is that Piotr is not only building an AI-enabled delivery intelligence business; he is also reshaping Ingrid internally around AI, centralised knowledge and a future “product brain”. Ingrid is listed as a delivery-first retail platform, and Piotr is also speaking at CommerceAI Summit 2026 in the “Strategic AI: The AI-Transformed Enterprise” session. Key themesDelivery as a commercial proxy: Piotr argues that delivery is not a back-office function but a proxy for conversion, customer NPS, repeat purchase and profitability. Ingrid integrates across multiple delivery carriers and builds logic and customer interfaces to make delivery more precise, accurate and consumer-friendly. The “last big problem” in digital retail: The conversation revisits the messy reality behind ecommerce delivery: stock certainty, carrier choice, delivery cut-offs, in-flight changes and systems that were never designed to talk to each other. Piotr frames delivery as fragmented, complex and still not solved in a simple way. From checkout feature to whole-journey economics: Piotr challenges retailers to look beyond adding a carrier or running a checkout A/B test. Delivery choices affect AOV, cost to serve, customer acquisition cost, loyalty and the quality of the customer promise before conversion.AI inside the enterprise, not just inside the product: Piotr describes AI as a “renaissance” for how Ingrid thinks about product. Rather than treating product as a bounded software surface, he sees every customer and end-customer interaction becoming part of product over time. The rise of the product brain: Ingrid is centralising knowledge and automation so that domain expertise can be used across support, sales, discovery, onboarding and eventually customer-facing product experiences. Piotr describes this as a future product increment: a “product brain” built from Ingrid’s domain knowledge, transactional data and operational logic.Agentic shopping and the return of negotiation: Piotr suggests retail may move away from mass standardisation towards more contextual, flexible deals. Agents could evaluate convenience, returns, delivery capability, operational quality and price together — moving commerce closer to a personalised negotiation than a static buy button.TopicsWhy delivery should be evaluated as a driver of conversion, loyalty and margin, not just as a fulfilment cost.How conflicting internal KPIs can distort delivery decisions unless retailers look at cost to serve across the whole customer journey.Why AI adoption inside a SaaS business may start with knowledge management, workflow and team capability before it becomes a visible customer-facing feature.How centralised knowledge and automation can help teams become more “T-shaped” without losing operational discipline.Why agentic shopping may shift competitive advantage from product discovery towards operational superiority and fulfilment capability.How to think about AI and enterprise value in the CapitalAI / StrategicAI sense: not just as productivity, but as product architecture, organisational design and future moat.Highlights00:01 – CommerceAI framing: Ian introduces the CommerceAI lens: AI across customer, experience, operations and capital value chains.01:27 – What Ingrid does: Piotr introduces Ingrid as a delivery intelligence platform integrating across carriers and customer interfaces.03:53 – Why delivery was the problem to solve: Piotr explains how fragmented delivery information created cognitive load for consumers and an underserved operational challenge for retailers.07:42 – Bridging carriers and retailers: Ingrid has to build trust and integration with carriers while persuading retailers to rethink hard-won internal delivery logic.12:58 – The KPI tension: Piotr unpacks the conflict between top-line teams seeking lower delivery fees and operations teams managing cost to serve.17:58 – AI as a renaissance: Piotr explains how AI has changed his philosophy of product, turning internal knowledge, customer support and sales enablement into part of the product surface.24:17 – The Ingrid way of AI: Piotr describes centralising information, automation and cross-functional AI enablement rather than allowing every team to build in isolation.29:42 – From standardised retail to contextual retail: The conversation turns to agentic shopping, personalisation from both ends of the transaction and the possibility of a more negotiated form of commerce.35:57 – Direction of travel: Piotr argues that discovery may become more horizontal through agents and LLMs, while ...
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    42 mins
  • "Democratising Intelligence" - Stephen Dewar of Blackcircles.com
    Apr 19 2026
    In this episode of CommerceAI, Ian Jindal speaks with Stephen Dewar, Director of Marketing and AI Transformation at Blackcircles.com, the UK’s leading online tyre retailer and part of the Michelin Group. They explore how a business that turns an anxious, “your money, your life” purchase into a simple, people‑centred journey is weaving AI through every layer of its operations – from customer research and tyre merchandising to internal tooling and board‑level decision‑making. Stephen shares how Blackcircles built its own Nexus platform with 30–40 AI agents, set out a people‑first AI policy, and uses AI to democratise intelligence without compromising privacy or safety. This is a grounded, practitioner’s view of AI transformation in a very real, very physical commerce business. Key themesMaking a stressful purchase simple: Blackcircles was founded to take the complexity and anxiety out of buying tyres by guiding customers from number plate to the right product, backed by strong data and people‑centred service.AI lands with employees before customers: A turning point came when an internal presentation, powered quietly by an AI tool, made the leadership realise AI would reshape how staff, stakeholders and partners work long before it showed up in marketing decks.Customers arrive better briefed: Search behaviour has shifted from “buy tyres” to natural‑language questions like “what are the best tyres for my Volvo,” with customers arriving more informed and conducting research through LLMs and agents before they ever hit the site.A cyborg approach to merchandising: Product selection combines internal tools and AI with human specialists who still override and fine‑tune recommendations for safety‑critical “your money, your life” purchases, boosting both conversion and customer satisfaction.Nexus: internal AI for everyone: Blackcircles built Nexus, a browser‑based internal hub of 30–40 AI modules that any employee can use for tasks ranging from email drafting to legal analysis and financial modelling, sitting safely behind existing security and log‑ins.People, privacy, performance: Their AI adoption is anchored in three pillars – improving people’s work and satisfaction, protecting privacy by keeping PII out of AI systems, and only deploying AI where it genuinely improves performance rather than adding novelty.Boards in an AI age: Stephen argues that boards don’t need to own AI as a function; they need the humility to listen, communicate well, and equip teams with tools and skills, treating AI as a societal shift rather than a niche IT project.Skills for the AI generation: For new joiners and first‑line managers alike, communication (including with AI agents) and critical thinking are the two universal skills that will matter across industries, geographies and roles.Highlights~00:01 – Stephen introduces Blackcircles.com, its Michelin ownership, and how the brand turns a stressful, complex tyre purchase into a simple people‑centred journey.~04:05 – The internal “AI moment”: a staff presentation built with an AI tool triggers the realisation that AI will reshape how employees, not just customers, work.~06:48 – Changing search behaviour and customer research: from “buy tyres” to conversational queries and deeper exploration of product and brand pages.~09:41 – Launching an on‑site conversational agent to both guide customers and learn how they actually ask questions about tyres.~11:34 – A “cyborg” approach to merchandising: blending algorithms with tyre specialists to protect safety and improve accessibility and satisfaction.~16:06 – The three‑pillar AI policy (people, privacy, performance) and why they deliberately keep PII out of AI systems.~18:02 – Introducing Nexus: an internal, browser‑based home for 30–40 AI modules used across departments for writing, research, legal and financial tasks.~23:31 – “The AI age took about 40 minutes”: Stephen on the speed of adoption and why cross‑functional communication matters more than ownership.~29:48 – How leadership and frontline teams are encouraged to “go and play” with AI, leading to a complete redesign of management meetings using Notebook LM.~32:25 – Stephen’s three buckets for AI value – efficiencies, opportunities and innovation – and how AI lets creative people build what they imagine.About the guestStephen Dewar is Director of Marketing and AI Transformation at Blackcircles.com, the UK’s leading online tyre retailer and part of the Michelin Group. He leads all marketing activity – from paid and owned media to how the brand shows up inside large language models – while steering Blackcircles’ AI transformation across departments. With a deep focus on customer data and journey design, Stephen has helped the business blend algorithmic tools with human tyre specialists to improve safety, satisfaction and conversion. He also designs internal AI ...
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    35 mins