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How AI is reshaping retail without killing your existing channels

Nitin Mangtani of Salesforce

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Published by Noibu | The Ecommerce Toolbox: Expert Perspectives
Guest:
Nitin Mangtani, SVP & GM Salesforce Commerce Cloud & Retail Cloud
Host: Kailin Noivo, Co-Founder at Noibu

🎧 Listen to the full conversation on Apple, Spotify, or YouTube


The role of the ecommerce leader is evolving at a rapid pace since the rise of mobile and marketplaces. Every major shift - search, social, mobile, marketplaces, has forced leaders to rethink how customers discover, evaluate, and buy products.

Agentic AI is the next shift. And it’s arriving faster, louder, and with more existential fear than any before it.

In this episode of The Ecommerce Toolbox: Expert Perspectives, host Kailin Noivo speaks with Nitin Mangtani, Senior Vice President and General Manager of Salesforce Commerce Cloud and Retail Cloud about what agentic AI actually means for retail leaders navigating 2025 and beyond.

Agentic commerce isn’t channel replacement – it’s a new interaction layer

Every technology wave in retail follows the same emotional arc:

New interface → existential panic → overcorrection → equilibrium.

Every new retail interface creates panic — then balance

  • Web didn’t kill stores.
  • Mobile didn’t kill desktop.
  • Marketplaces didn’t kill DTC.

Agentic AI will follow the same pattern.

According to Nitin, the biggest mistake brands are making is assuming that AI agents will replace ecommerce sites, stores, or apps. That framing leads to destructive decisions - underinvesting in stores, freezing site innovation, or waiting on the sidelines entirely.

Instead, agentic commerce should be understood as a new interaction layer that sits on top of existing channels - enhancing discovery, reducing friction, and accelerating decision-making.

Customers won’t “stop shopping” on websites or in stores.


They’ll arrive there better informed, more intent-driven, and more confident- because agents helped them narrow down choices before they even clicked.

The lesson for ecommerce leaders is clear:

The brands that win will integrate agentic layers into their ecosystems, not rip the ecosystem apart.

The three pillars of agent force commerce

Nitin frames agentic commerce around three distinct but connected agent types. Understanding the difference between them is critical because each drives value in a different way.

1. Shopper agents: Reinventing discovery, not checkout

For over a decade, ecommerce discovery has been constrained by search boxes, filters, and category trees. Customers think in stories and intent. Websites force them to think in keywords.

Shopper agents close that gap.

Instead of typing “black sneakers size 9,” customers can express intent:

“I want professional sneakers that work with dark jeans, are sustainable, and under $150.”

The agent responds like a great in-store associate - asking clarifying questions, learning preferences, and curating a short list of highly relevant options.

This isn’t a chatbot bolted onto PDPs. It’s conversational discovery built on deep product, inventory, and brand context.

Salesforce customers like Williams Sonoma and Pandora are already seeing:

  • Higher conversion rates
  • Increased basket size
  • Faster decision cycles

Why this matters:

Agentic discovery changes how products must be described, structured, and merchandised. Taxonomies, attributes, and content quality suddenly matter more than ever. If your catalog isn’t agent-ready, your brand won’t surface, no matter how strong your assortment is.

Consumer behavior has already shifted from keyword search to full conversational interaction, with hundreds of millions now expecting intelligent, context-aware responses.

Once discovery becomes conversational, every industry must follow - retail included, making shopper agents a leading indicator, not a passing trend.

2. Associate agents: The fastest ROI most brands are missing

The most overlooked opportunity in agentic commerce isn’t customer-facing.

It’s employees.

Store associates and contact center agents are drowning in complexity:

  • Promotions change daily
  • Inventory visibility is fragmented
  • Policies vary by channel
  • Systems require dozens of clicks

Turnover is high not because associates don’t care but because the job is cognitively exhausting.

Associate agents flip this dynamic.

Prompts, not clicks

Instead of navigating five systems, associates can ask:

  • “Is this item available nearby?”

  • “What’s the return policy for this SKU?”

  • “Create a 20% in-store promo for Friday only.”

What used to take 20 clicks becomes one prompt.

Nitin calls this shift “prompts, not clicks.”

The impact is immediate:

  • Faster onboarding
  • Higher associate confidence
  • Better customer conversations
  • Higher conversion per associate

Why this matters:

If you’re only thinking about AI for customers, you’re missing the easiest productivity win in retail. Empowered associates don’t just work faster, they sell better.

3. Background agents: The quiet margin protectors

The most powerful agents never speak to customers or employees.

Background agents operate autonomously across:

  • Inventory replenishment
  • Demand forecasting
  • Fraud detection
  • Order routing
  • Supply chain optimization

These agents synthesize data across systems humans can’t realistically monitor in real time. They generate recommendations, flag anomalies, and automate decisions, while keeping humans in the approval loop.

This is where real margin protection happens.

  • Fewer stockouts.
  • Less overbuying.
  • Better working capital efficiency.

Why this matters:

Agentic commerce isn’t just a CX play. It’s an operational one. Brands that deploy background agents intelligently will quietly outperform competitors on margin, speed, and resilience, without flashy customer-facing features.

The founder lesson: Why timing and signals matter more than hype

Nitin’s perspective is grounded by experience.

At PredictSpring, he made a painful pivot, not because revenue disappeared, but because a leading indicator told him the market was shifting faster than the product roadmap. That decision saved the company and ultimately led to its acquisition.

That same discipline applies to AI today.

Agentic discovery volumes may be small right now. But conversion rates are disproportionately high. And behavior is changing faster than dashboards suggest.

Waiting for “perfect clarity” is the biggest risk. Nitin also emphasizes the importance of paying attention to customer behaviour:

"Revenue is important. Look at your ARR. But what's even more important is your customer engagement. That's your leading indicator."

The bigger picture

Agent Force Commerce represents a shift in how retail systems think, not just how they transact.

The future of commerce will belong to brands that:

  • Layer agentic intelligence onto existing channels
  • Empower employees as much as customers
  • Automate complexity without removing human judgment
  • Prepare for new discovery models before they dominate

AI won’t kill ecommerce websites. It won’t kill stores. It won’t kill brands.

But it will expose which organizations understand how change actually works.

Want to hear Nitin Mangtani break down agentic commerce, channel evolution, and how Salesforce is thinking about the future of retail?

Catch the full episode on the Ecommerce Toolbox: Expert Perspectives on your favorite podcast platform.

Key takeaways: agentic AI in retail without breaking your channels

Challenge The Agentic Approach Strategic Outcome
Leaders treating agentic AI as a channel replacement (and pausing investment in sites, apps, or stores) Reframe agentic commerce as an interaction layer that sits on top of existing channels—improving discovery, support, and decision-making Modernize the customer experience without “ripping out” what already works; reduce risk from overcorrection
Keyword-driven discovery (search boxes, filters, category trees) limits how customers express intent Deploy shopper agents that translate conversational intent into curated results grounded in product, inventory, and brand context Higher conversion and larger baskets through better relevance, fewer choices, and faster decision cycles
Catalogs aren’t “agent-ready” (weak attributes, inconsistent taxonomy, shallow content) Invest in product data quality: enrichment, attributes, metadata, semantics, and content structure that agents can reliably use Improved visibility and accuracy in conversational discovery—so your products surface when intent is nuanced
Store and contact-center teams lose time to system complexity (dozens of clicks, fragmented inventory, shifting policies) Roll out associate agents that turn workflows into prompts—inventory checks, policy answers, and promo setup via conversation Fast ROI through productivity: quicker onboarding, higher associate confidence, and better customer conversations
Operational margin leakage from stockouts, overbuying, and slow exception handling Use background agents for replenishment, forecasting, order routing, and anomaly detection—with humans in the approval loop Quiet margin protection: fewer stockouts, better working capital efficiency, and more resilient operations
AI answers aren’t trustworthy without deterministic enterprise data and workflows Ground agents in clean product and order data (taxonomy, purchase history, accurate IDs) and connect them to real workflows Enterprise-grade outcomes (e.g., correct refunds, correct order status, correct inventory actions) instead of “maybe” responses

Listen to the full episode now

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Frequently Asked Questions

Who is Nitin Mangtani and what is his role at Salesforce?
Nitin Mangtani is the Senior Vice President and General Manager of Salesforce Commerce Cloud and Retail Cloud (Agentforce Commerce). He helps shape Salesforce’s commerce roadmap across ecommerce, unified commerce, and agentic experiences.
Will agentic AI replace ecommerce websites, mobile apps, or physical stores?
Nitin’s view is that it won’t be binary. Agentic AI becomes a new interaction layer that changes how people discover and decide—while websites, apps, and stores remain foundational channels. The boundaries blur, but the channels don’t disappear.
What is “agentic commerce” in retail?
Agentic commerce is the shift from keyword-based experiences to conversational, goal-driven interactions powered by agents—across customer shopping, employee workflows, and automated back-office operations.
What are the three types of agents in Agentforce Commerce?
Nitin describes three agent surfaces: (1) Shopper agents for consumer discovery and support, (2) Associate agents for store and contact-center productivity (“prompts, not clicks”), and (3) Background agents that automate operational work like replenishment and routing with humans in the loop.
How do shopper agents improve ecommerce performance?
Shopper agents let customers express intent in natural language (instead of filters and keywords) and then curate relevant products using catalog, inventory, and brand context. This can lift conversion rate, increase basket size, and shorten decision cycles.
Why are associate agents often the fastest ROI for brands?
Associate agents reduce workflow friction for store teams and support agents by turning complex tasks into simple prompts—like inventory checks, policy questions, and promo setup. The impact shows up quickly in productivity, faster onboarding, and stronger customer conversations.
What does it mean to be “agent-ready” from a data perspective?
Nitin emphasizes that enterprise agents must be grounded in accurate data and deterministic workflows. That means a clean product catalog (attributes, taxonomy, metadata), reliable order history, and correct IDs—so the agent can produce precise outcomes (not “maybe” answers) for refunds, inventory, and support.
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