The CPG Guys Podcast — Expanding What's Possible for Retail Execution with FORM's David Gottlieb & Jeff Wrona

Release Date: March 14, 2026
Hosts: Sri Rajagopalan & Peter V.S. Bond
Guests: David Gottlieb (Chief Revenue Officer, FORM), Jeff Wrona (VP of Product for Image Recognition, FORM)

Episode Overview

This episode dives into the transformative potential of the merger between Form and Trax Retail, resulting in a new powerhouse company (FORM) that aims to revolutionize in-store retail execution. The discussion covers the convergence of task management and advanced image recognition, AI's present and future role in CPG (Consumer Packaged Goods), the connection between shelf data and broader industry trends (like GLP-1 drugs and changing consumer behaviors), and why actionable execution – not just dashboards – is the key to retail success. The conversation also explores how brands can respond in real time to both macroeconomic and micro category shifts, and how image recognition and AI might transform traditional retail’s ability to compete with digital-first brands and challenger creators.

Key Discussion Points & Insights

1. Form + Trax: The Merger & Its Potential

[04:14 – 07:35]

• David Gottlieb explains how the two companies’ distinct strengths now form a comprehensive solution:

  • “When I think about Form and I think about Trax, we're almost like children that were raised by different parents and now we've come back together as a family.” (A, 04:50)
  • Form excelled at complex task management for retail execution, later adopting image recognition.
  • Trax pioneered in image recognition, developing early AI-driven models focused on shelf intelligence.
  • Post-merger, customers get global reach, best-in-class task management, AND advanced, scalable image recognition in a single tool for true end-to-end in-store execution.

• Global Scale: Trax’s infrastructure suits multinationals; now, Form’s customers can enjoy global support, while Trax customers gain advanced field execution tools.

“Now we have best in class task management...paired with best in class image recognition...That’s pretty unique in the industry.”
—David Gottlieb (A), [06:07]

2. Image Recognition: Moving From Reactive to Proactive Intelligence

[07:44 – 11:26]

• Jeff Wrona outlines the elevation of competitive intelligence:

  • Traditional retail shelf data was slow and piecemeal; full competitive product lists were elusive.
  • Form’s shared model approach: image recognition models are trained across regions/customers, so brands see not just their SKUs but leading competitors.
  • Self-training models automatically identify frequently spotted “unknown” products and onboard them, closing the competitive data gap much faster than syndicated data feeds can deliver.

• Competitive Advantages Delivered:

  • Real-time visibility into pricing, share of shelf, out-of-stocks, and promotions—across one’s own and competitors’ products.
  • Speed and granularity unattainable via manual store surveys or lagged syndicated data.

“We’re trying to make that process as seamless as possible, [to get] as much data as possible...so ultimately brands can use this information to take action quickly.”
—Jeff Wrona (B), [10:52]

3. AI, Agentic Intelligence & The Modern CPG Tech Stack

[11:26 – 18:26]

• Agentic AI: Reality or Hype?

  • “I don’t think it’s hype, I think it’s real...Manufacturers need to be thinking about what their points of leverage are via AI platforms... How do I sift through this and understand what’s actionable?”
    —David Gottlieb (A), [12:23]
  • Large language models (LLMs) as custom-trained “chat for CPG": querying real-time shelf data for insights like, “Where am I losing share?” or, “What new competitors have five facings in the Southeast?”

• Agents as Amplifiers: Smart AI agents constantly monitor data, spot shifts, and proactively alert users, boosting analyst productivity and surfacing overlooked opportunities/trends.

“It can really be a value builder and an amplifier of the investment they make in not just the technology but their actual team.”
—David Gottlieb (A), [15:05]

• Impact on Human Teams: AI handles repetitive data queries and daily surveillance, freeing human talent to focus on higher-level strategic work.

• Image Recognition as Foundation: Hyper-granular shelf/SKU data is a critical input for effective AI and decision-making, especially when integrated with supply chain and sales systems.

4. Connecting Shelf Data to Sell-Through & Trend Detection

[18:26 – 23:36]

• Jeff Wrona: Real-time, shelf-level data is “the holy grail” for linking in-store execution directly to sales and outpacing competitors.

  • “If we don’t have that input from what’s happening actually in store, then...slower response times to in-store execution issues, or inability to be aware of and respond to competitive actions in real time.” (B, [19:01])

• Early Indicator of Trends (GLP-1, Gen Z shifts, Alcohol decline):

  • Shelf conditions (new facings, assortment mix, emerging products) detect buyer shifts before syndicated sales data, which lags by at least a week.
  • Vital for categories like snacks, beverages, and alcohol as macro trends rapidly reshape shelves.

“There is a potential to get sort of the canary-in-the-coal-mine early warning signal if you're keeping a close eye on what is the shopper experience in the store. How is the set changing? What’s the mix of products?”
—David Gottlieb (A), [21:56]

5. In-Store Execution as Critical Advantage in a Margin-Compressed, Volatile World

[23:46 – 28:21]

• Jeff Wrona: In today’s high-inflation, tariff-driven environment, in-store execution and rapid data-driven adjustments are “table stakes.”

  • Shoppers now value price/promos over brand loyalty; brands must monitor and react instantly to bulk buys, out-of-stocks, and shifting behaviors.

• Fresh, Healthy, and Food Waste Reduction:

  • Digital shelf checks can help reduce spoilage and shrink, even in high-loss categories like produce and meat, by making data about backstock and out-of-stocks actionable in real-time.

“Our image recognition can tell the difference between a bin of parsley and a bin of cilantro on a shelf…and like, I can’t even do that myself.”
—Jeff Wrona (B), [27:50]

6. Dashboards Don’t Sell Products — Actions Do

[28:21 – 33:04]

• Sri & Peter highlight: Brands have long suffered from the “execution gap” – beautiful dashboards, but no timely follow-through.
• David Gottlieb:
  • Image recognition + Form’s mobile tasking closes the loop:
  • “...literally as you’re standing in front of the shelf and interacting with it using a mobile app, it will tell you...here’s the things that are incorrect and here’s how to make it right.”
  • Data no longer just rolls up to central dashboards; it must flow into all parts of the business, supporting instant field corrections AND upstream changes in trade planning and supply chain.

“You really have to be mindful and thoughtful about plumbing data into the fabric of the business, in all the places where those impacts can be realized.”
—David Gottlieb (A), [31:31]

7. Creator Brands, Disruption & CPG’s Changing Landscape

[33:04 – 37:49]

• Celebrity/Creator-Led Brands:
  • Disruptive “creator” brands (e.g., in beverage/spirits, beauty) scale rapidly via emotional connections, social media and star power, challenging traditional CPGs.
  • The legacy playbook (hiring spokespeople, acquiring smaller brands) is reactive. Faster, more granular market intelligence could let big brands spot and respond to trending creators earlier.

“The creator brands, especially with real star power, have the ability to show up and grow faster than traditional consumer brands...All of those contributors drive growth in a way that I think is really challenging for traditional brands.”
—David Gottlieb (A), [34:38]

8. Physical Retail Meets Digital Precision

[37:49 – 42:49]

• 80%+ of retail is still in-store.

  • But digital shopping has set new expectations: search, filter, personalized discovery, reviews — all seamlessly available online.
  • With AI and image recognition, physical retail can mimic that granularity: consumers could one day point phones at a shelf, filter by dietary restrictions, see reviews, get targeted offers, and brands/retailers can spot and respond to issues in real time.

• Super Regionals: A Leapfrog Opportunity

  • Mid-size or regional retailers can move faster, adopt these tools first, and gain an advantage over larger national chains, who are often slower to innovate.

“Expectations have never been higher and we've trained shoppers... Amazon has trained shoppers...Now, putting this kind of technology [on their phones]...is going to really make that experience richer and more rewarding for shoppers and...sticky for retailers.”
—David Gottlieb (A), [39:05, 41:14]

9. Crystal Ball: Is Data-Driven Execution the Next Gold Standard?

[42:53 – 45:56]

• Peter’s Provocation:

  • In 5 years, will investors judge CPGs by how advanced their execution/data capabilities are—not just by brand equity?

• David:

  • Execution and the proven ability to act at scale will be critical growth factors, alongside brand equity.
  • “Growth potential is not just a function of brand equity...it’s really going to be a function of what manufacturers have a proven ability to execute at scale and do it consistently and meet shopper expectations.” (A, [43:35])

• Jeff:

  • Brands with better data and actionable insights will become category leaders, even if they’re not the largest.
  • Integrated, agile, and AI-powered retail execution will be the key differentiator.

Notable Quotes & Memorable Moments

• “Dashboards don’t sell products. The actions, the decisions, the follow-through...the actual execution [do].”
  —Sri Rajagopalan (paraphrased through episode theme)
• “There’s a leapfrog opportunity here. Sometimes being smaller can be an advantage because you can move faster.”
  —David Gottlieb (A), [42:08]
• “Our image recognition can tell the difference between a bin of parsley and a bin of cilantro on a shelf…like, I can’t even do that myself.”
  —Jeff Wrona (B), [27:50]

Timestamps for Major Segments

| Segment | Timestamp | |----------------------------------------------------------------------------------|-------------| | Form + Trax merger: What changes? | 04:14–07:35 | | Making competitive shelf data proactive | 07:44–11:26 | | AI & agentic intelligence in CPG | 11:26–18:26 | | Linking shelf data with sell-through, spotting macro trends | 18:26–23:36 | | In-store execution in margin-compressed environments | 23:46–28:21 | | Why dashboards don’t sell products – real-time, actionable execution | 28:21–33:04 | | The creator/celebrity brand challenge | 33:04–37:49 | | Bringing digital intelligence to physical shelves; super regional opportunity | 37:49–42:49 | | Investor focus shift: will execution/data matter more than legacy brand equity? | 42:53–45:56 |

Episode Takeaway

This episode is a deep dive into the new era of retail execution, where AI, image recognition, and seamless task management directly connect data to action — closing the gap between what’s happening on the shelf and what brands (and retailers) can do about it instantly. FORM’s joint platform promises both CPG multinationals and retail operators a leap forward in agility and intelligence, crucial as consumer behavior, macro trends, and competitive disruption accelerate. Real-time, granular, actionable data now emerges as the ultimate competitive edge in the omnichannel world.