A CPG software solution has to do more in 2026 than keep orders moving. Consumer preferences change mid-season, and the data that explains them often sits in systems that never talk to each other.
That gap shows up in how brands use AI. In a June 2026 BCG survey with The Consumer Goods Forum, nearly half of CPG executives named idea to market as the most strategic process for AI. Only 11% had scaled AI there, and roughly 3 in 4 CPG respondents were still in pilot or exploration mode.
A comprehensive CPG software solution integrates operational workflows, order taking and real-time market intelligence into one connected system. The right CPG platform turns static enterprise resource planning into a faster way to decide what to make and where to sell it. Tastewise sits on the intelligence side of that stack.
Key takeaways
- A CPG software solution works best as a stack: operational tools run orders and inventory, and an intelligence layer tells teams what demand looks like before they commit.
- Among US cold brew and ready-to-drink (RTD) coffee consumers, about 1 in 5 (21%) tie the drink to their morning, and that group grew 27% over the past 12 months.
- Caffeine is the most common front-of-pack claim on RTD coffee, while consumers who connect the category to caffeine fell 28% over the same period.
- Matcha reaches 3% of these consumers and grew 28%. Sweet cream reaches fewer (0.8%) but is reaching new consumers faster, at 35%.
- Tastewise tracks 875 cold brew and RTD coffee products from 208 brands across 628 online retailers, so shelf, menu and consumer data can be read together.
- Fragmented legacy systems slow retail execution because sales, marketing and supply chain each plan against a different version of demand.
Why are data-driven insights essential for modern CPG platforms?
Data-driven insights are essential because they replace reactive guesswork with predictive intelligence. They let consumer goods industry software users plan inventory, forecast retail demand and align product development with what consumers actually want.
Most CPG platforms already hold internal data on shipments, orders and promotions. What they rarely hold is the outside view: what consumers choose, what operators add to menus and what competitors just put on shelf. A CPG software solution that combines both lets your CPG insights feed operations while demand is still forming.
How does leveraging data analytics optimize everyday CPG operations?
When market intelligence feeds your enterprise systems, demand planners see which flavors are gaining consumers before they set production runs. Category managers see which retailers carry a category before they push distribution.
Retailer concentration is a practical example. Of the 875 cold brew and RTD coffee products Tastewise tracks online, Walmart lists about 2 in 3 (67%), compared with nearly 1 in 5 at Safeway (19%). A team that sees this in one view can judge where a stockout costs the most and where a new listing would add the most reach.
How do AI analytics predict shifting consumer demand before competitors?
AI analytics read demand signals across many sources at once and flag the ones that are moving. Tastewise covers 72 markets, refreshed daily, with 72 billion observed food moments resolved into one dataset. Its food ontology, Wise, reads a social post, a retail product line and a menu item about the same drink as one story.
Across the Tastewise US consumer panel, the refresher format reaches 0.4% of cold brew and RTD coffee consumers, and that group grew 52% over the past 12 months. Ube reaches 0.3% of the same consumers and grew 31%. Spotting signals at this size gives you time to test a concept early, which is the core of AI for CPG.
What are the primary benefits of software integration in consumer goods?
Comprehensive software integration streamlines operations by removing data silos, automating order-taking workflows and giving supply chain, sales and marketing teams the same real-time view of the business.
Integration pays off when every function reads from the same numbers. If sales and marketing plan against different demand figures, the gap shows up later as excess inventory or a missed promotion. In the BCG research, the most cited barrier was that pilot results did not carry through to full-scale business results.
How do specialized CPG order taking software tools accelerate sales execution?
CPG order taking software lets field reps place orders, check inventory and review account history during a store visit. That shortens the time from order to shelf. These tools work best when reps also carry the reason a buyer should say yes.
A rep who can show which coffee occasions are gaining consumers walks in with a stronger case than one carrying a price list. The Tastewise retail sales solution delivers that buyer story into Salesforce and Power BI.
Why do fragmented legacy systems hinder operational efficiency in software CPG?
Disconnected systems carry hidden costs. Teams spend hours reconciling exports and decisions wait on whoever owns the spreadsheet. Unified CPG platforms solve this with a single source of truth for enterprise decision-makers.
The same problem sits outside your walls. Consumer, menu and retail data usually arrive from separate vendors with separate definitions. Tastewise resolves them into one dataset, so a sweet cream cold brew in a social post, on a retailer’s site and on a restaurant menu reads as one story.
How does Tastewise.io elevate traditional CPG software capabilities?
Tastewise elevates standard enterprise software by adding the market context it lacks: consumer motivations, predictive trend signals and live retail and menu data, delivered into the workflows your teams already use.
Tastewise is the proactive AI food and beverage intelligence system that delivers before you ask. Agents watch your categories and competitors, then hand each team the finished work: a retailer deck, a concept brief or a buyer story. You can also ask questions in plain language inside ChatGPT, Claude or Copilot.
How do product developers and brand marketers utilize Tastewise AI?
Take a ready-to-drink coffee brand choosing its next flavor and the claim to lead with on pack.
Across the Tastewise US consumer panel, cold brew and RTD coffee consumers are moving toward routine and comfort. About 1 in 5 (21%) tie the drink to their morning, a group that grew 27% over the past 12 months. Just over 1 in 20 (6%) link it to comfort, and that group grew 45%.
The shelf leans on a different message. Caffeine is the most common front-of-pack claim in the category, yet consumers who connect RTD coffee to caffeine fell 28%, and those linking it to health fell 38%.
Flavor data points toward creamy, dessert-style profiles. Matcha reaches 3% of these consumers and grew 28%. Maple syrup reaches 1.3% and grew 19%. On menus, Starbucks already lists pistachio cream and toasted coconut cream cold brews, and sweet cream appears on 2.4% of matching menu items.
New launches confirm the direction. In the past six months, 7 Brew put flavor-led chilled espresso breves such as Banana Bread and Blondie on shelf at Walmart, and Bones Coffee Company added French Toast and Cookies N’ Dreams lattes.
The move for this team: test a sweet cream or maple latte, put a morning-ritual cue next to the caffeine claim on pack and target Walmart for the first listing. That is the kind of decision product innovation teams can take into a stage-gate meeting with evidence behind every line.
What makes Tastewise the definitive choice among emerging CPG platforms?
Tastewise brings consumer, menu and retail data into one dataset and can read your CRM, ERP and sales history alongside it. Every figure carries its source, which matters when a buyer asks where a number came from. 80% of the world’s leading F&B brands use Tastewise.
For retail execution, the AI retail dashboard puts launches, assortment, pricing and claims across 350+ US retailers in one view. Customers report 30% higher win rates and retailer-ready narratives 10x faster.
Checklist: how to evaluate your current CPG software
- Can sales, marketing and supply chain see the same demand figures without exporting spreadsheets?
- Does your order-taking tool show reps live inventory and account history during a visit?
- Can you see what competitors launched in your category over the past six months?
- Do you know which consumer motivations are growing in your category, and which are fading?
- Can every number in a retailer deck be traced back to its source?
- Does new market intelligence land in the tools your teams already use?
The right CPG software solution in 2026 connects operations to demand. Keep the order-taking and planning tools that run your business, then add an intelligence layer that tells every team what consumers want next.
FAQs about CPG software solution
It is the set of tools that runs a consumer goods business, from order taking to market intelligence. Connecting them matters: only 18% of CPG companies in the BCG survey were scaling AI impact in 2026.
The best setup combines ERP, order-taking tools, supply chain planning and a market intelligence layer. On that layer, Tastewise retail data covers 350+ US retailers and around 15,000 convenience stores.
Start with one decision and pull the data that answers it. Cold brew and RTD coffee consumers who choose the drink for convenience grew 27% over the past 12 months, which supports grab-and-go formats.
It keeps every team planning against the same demand figures and lets outside data flow in. Tastewise tracks cold brew and RTD coffee on menus at more than 118,000 US restaurants, data a plan can only use if systems connect.
AI shows marketers which motivations to lead with. Cold brew and RTD coffee consumers linking the drink to relaxation grew 28% over the past 12 months, a cue for campaign messaging.
Track competitor launches, match claims to rising consumer motivations and focus distribution where your category sells. In the past 12 months, 28 new cold brew and RTD coffee products launched online in the set Tastewise tracks.
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What happens next
See what’s driving demand, then turn it into a sell-in story for retailers and operators.
- Connect consumer panels, market trackers, and agents into one evidence view
- Get the “why” behind what’s changing, with explainable demand drivers
- Walk away with a buyer-ready narrative and next steps to activate
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