Pet Manufacturers & Retailers: Your Business Data Should Be Driving Revenue. Is it?

How Pet Brands & Retailers are using AI & Data technologies to unlock untapped efficiencies and insights currently hidden in your data.
Published on
February 16, 2026

Pet retailers and manufacturers who excel at analytics-driven personalization see 10–15% revenue lift according to McKinsey estimates1. Deloitte's research2 also shows how AI-driven forecasting improves accuracy by up to 30%. The organizations that aren't using these tools yet? They're still guessing and losing ground every quarter.

Here's the reality: every demand forecast, regional sales shift, retailer reorder pattern, and  ingredient cost fluctuation is a signal pet product manufacturers are already generating. For retailers, add every click, cart abandonment, and loyalty program interaction to that list. The data isn't missing — it's sitting in disconnected systems across your organization. The question is whether you're turning it into decisions fast enough to matter. It isn’t about buying an expensive analytics platform or hiring a team of data scientists.

Unified Tables
It’s about applying the right analytics strategies to the data you already have — and doing it in a way that drives measurable results within months, not years.

The Shared Challenge: You Have the Data, But Not the Insights

Whether you’re manufacturing pet food for national distribution or running 200 retail locations, you’re sitting on a goldmine of data. This includes customer, regulatory, logistics, supplier and training data. The problem is the same for both: it’s scattered across systems, not connected, and by the time someone pulls a report, the opportunity has already passed.

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Challenge What Manufacturers Face What Retailers Face
Knowing the customer Demand signals are delayed, filtered through retail partners, and often months old by the time they reach you Shoppers bounce between online and in-store with no unified view of what they want
Inventory & production Production schedules set weeks in advance can’t adapt when a regional trend spikes overnight Stock-outs on trending items while slow-movers collect dust on shelves
Pricing pressure Volatile ingredient costs and shifting retailer expectations squeeze margins from both sides Competing on price while protecting margins across dozens of categories
Personalization at scale Promotional spend spread thin across channels with no clear picture of what’s actually driving purchase decisions Thousands of SKUs, millions of shoppers, and no easy way to match the right product to the right buyer

Sounds familiar? These aren’t technology problems. They’re business problems; and analytics is how you solve them.

Three Analytics Strategies That Are Changing the Game

There are three types of analytics that matter most for manufacturers and pet retailers right now — and none of them require you to become a tech company to use.

1. Behavioral Analytics: See What Your Customers Actually Do

Forget what customers say in surveys because behavioral analytics tracks what they actually do. It tracks what they browse, when they abandon carts, which promotions drive repeat purchases, and which products they pair together. For manufacturers, it means you can see which products are gaining or losing traction at shelf level before your quarterly review tells you. For retailers, this means you can finally personalize recommendations the way e-commerce giants do, even in-store.

2. Predictive Models: Know What’s Coming Before It Arrives

Predictive analytics uses your historical data to forecast what’s likely to happen next. For manufacturers, it means aligning production schedules to actual demand signals rather than educated guesses, reducing waste and improving margins. For retailers, that means knowing which SKUs will spike next month so you can stock accordingly. No more stock-outs on trending items while slow-movers clog your warehouse.

3. Customer Intelligence: Turn Data into Loyalty

The most valuable analytics application is also the simplest to explain. They understand your customers and partners well enough to keep them coming back. By identifying which customer segments are most profitable, which are at risk of leaving, and what drives their purchasing decisions, you can focus your marketing spend where it actually delivers returns. Manufacturers can identify which retailer relationships need attention before shelf space disappears. Retailers can spot loyalty program members who are disengaging before they leave.

The pet and animal health companies winning right now aren’t the ones with the most data. They’re the ones turning data into decisions the fastest.

What This Looks Like in Practice

Here’s a snapshot of the kind of impact, analytics strategies are delivering for pet retailers and manufacturers right now:

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Analytics Application Manufacturer Impact Retailer Impact
Customer behavior tracking 20–30% improvement in demand forecast accuracy 15–25% increase in repeat purchases through personalized recommendations
Predictive inventory models 15–25% reduction in production waste from overforecasting 30–40% reduction in stock-outs on high-velocity SKUs
Dynamic pricing intelligence 10–18% better trade promotion ROI 8–12% margin improvement on promotional items
Churn prediction Early detection of retailer shelf-space reductions before they happen 2–3x faster identification of at-risk loyalty members

Note: Ranges reflect typical outcomes across mid-to-large enterprises in the pet and animal health industry. Your results will depend on data maturity, scope of implementation, and business model.

How to Start: The Crawl-Walk-Run Approach

Implementing advanced analytics can feel overwhelming and disruptive. That’s why the smartest approach isn’t a massive, enterprise-wide overhaul. It’s a phased strategy that delivers quick wins while building towards bigger impact.

Crawl Walk Run
CRAWL
Start small. Pick one high-value use case — like demand forecasting for your fastest-moving category or churn prediction for your top loyalty segment. Run a focused pilot, measure the results, and build confidence in the approach.
WALK
Scale what works. Expand the pilot to more product categories, more locations, or more retail partners. Start connecting data sources that were previously siloed. Refine your models based on real-world performance.
RUN
Go enterprise-wide. Roll out analytics-driven decision-making across functions — from supply chain to marketing to merchandising. Embed data into daily KPIs and strategic planning. This is where competitive advantage becomes structural.

The Bottom Line

The data to understand your customers better already exists inside your business. The analytics strategies to unlock it are proven and accessible. The only question is whether you’ll act on it now — or watch your competitors do it first.

Cambridge PetTech has spent over 25 years helping pet and animal health enterprises turn scattered data into clear competitive advantages. We don’t sell off-the-shelf platforms. We build custom analytics solutions designed for your business model, your data environment, and your growth goals.

See What Your Data Can Actually Do

Get a custom analytics roadmap for your manufacturing or retail business — built around your data, challenges, and goals. Get clarity on where to start and what to expect.

Email us at sales@cambridgetech.com or talk to our animal health and technology experts.

Schedule a 30-Minute Strategy Session

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