Guac
AI-powered forecasting & replenishment for fresh grocery retail
Guac is a strong fit for fresh grocery retailers that want store-level, variable-aware forecasting and are ready for a custom, sales-led engagement. The reported 38% waste reduction is compelling, but the lack of public pricing and self-serve options means it's not for small or price-sensitive teams. If you're a mid-to-large fresh-focused chain, it's worth the demo.
Verified 7d ago · liveness 57/100 · cite: rightaichoice.com/tools/guac
- Fresh grocery departments (meat, seafood, bakery, produce, deli) looking to cut waste and boost availability
- Store ordering and production teams that need daily, store-level guidance
- DC buyers and allocation planners managing perishable inventory
- Mid-to-large grocery chains that want specialized fresh forecasting and are ready for a custom engagement
- Non-grocery retail verticals like fashion or electronics
- Small independent stores without digital infrastructure or budget for custom solutions
- Teams needing a full ERP suite or accounting integration
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Skip Guac if you're not in fresh grocery retail, need transparent self-serve pricing, or lack the budget for a custom, sales-led engagement—there's no free trial or public tier.
Custom implementation likely requires a paid onboarding or consulting fee, as the company builds a personalized solution for each retailer.
Guac's contact-based pricing is best for mid-to-large grocery chains that can afford a custom solution and will see ROI from waste reduction. It's not competitive for small retailers; you'd compare it to other fresh-focused platforms like Spoiler Alert or Afresh, which also use sales-led models.
In short
Guac — AI-powered forecasting & replenishment for fresh grocery retail. Best for Fresh grocery departments (meat, seafood, bakery, produce, deli) looking to cut waste and boost availability, Store ordering and production teams that need daily, store-level guidance, DC buyers and allocation planners managing perishable inventory. Contact Sales pricing.
What people actually say about Guac — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
89 mentions across 6 sources (Hacker News, YouTube, Product Hunt, App Store, GitHub, Lemmy) · researched Aug 16, 2026.
- +Targets a clear niche: fresh grocery forecasting, not generic retail
- +Uses 240+ local data variables for accuracy
- +Reports 38% food waste reduction and 3% sales lift
- +Provides store-level daily forecasts for every SKU
- +Modules for store, DC, and commissary planning
- −Almost no direct user feedback exists to validate claims
- −Speculative benefits not independently verified
- −Pricing opaque, requiring sales contact
- −Brand confusion with a poorly reviewed budgeting app
- −Potential integration complexity with existing ERP systems
- • Custom onboarding may incur professional services fees
- • Potential costs for data integration and API access
Viability Score
How well maintained and how widely used is Guac? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- AI-powered demand forecasting (per SKU, per store, per day)
- Uses 240+ local variables (weather, sports, school terms, promotions, social media)
- Interactive forecast chart with variable toggles (schools, promotions, sports, weather, holidays)
- Store ordering recommendations
- Store production planning
- DC buyer ordering with intelligent suggestions
- DC allocation optimization
- Commissary production planning
- Recipe management for HQ teams
- Analytics dashboards for performance insights
- Support for multiple fresh departments (meat & seafood, bakery, produce, deli, center store)
- Web-based platform
- Consultative setup and custom solution building
- Reported 38% reduction in food waste and 3% sales increase
About Guac
Guac is an AI-powered forecasting and replenishment platform built exclusively for fresh grocery retail. It generates daily, store-level demand forecasts for every SKU across meat & seafood, bakery, produce, deli, and center store, using over 240 local data variables like weather, school terms, sports, promotions, and social media trends. The platform serves store teams, DC buyers, commissary teams, and HQ teams with purpose-built modules: store ordering, store production planning, DC buyer ordering, DC allocation, commissary production planning, and recipe management. Guac's interactive forecast visualization lets you toggle variables to see how they impact future demand, helping you understand the drivers behind your sales. Reported results include a 38% reduction in food waste and a 3% increase in sales. The company gives every retailer a consultative engagement, building a customized solution to fit unique needs. Pricing is not public — you'll need to request a demo. Unlike generic forecasting tools, Guac's vertical focus and store-level granularity make it a fit for fresh grocery operations that want to cut waste and improve on-shelf availability.
Behind the Verdict
Guac stands out in the grocery tech space by focusing exclusively on fresh food forecasting—produce, meat, bakery, deli—where demand is volatile and waste is costly. Its use of 240+ local variables (weather, school terms, sports, promotions, social media) gives it an edge over generic tools that rely on historical sales alone. The interactive forecast chart is a differentiator, letting you see exactly how each variable moves demand, which builds trust in the recommendations. The product suite covers the full replenishment cycle: store ordering, production planning, DC allocation, and even commissary recipe management—so it's not just a forecasting engine; it's an operational workflow tool. Strengths: The vertical depth is real—it speaks the language of fresh departments and addresses pain points like shrink and stockouts. The reported results (38% waste reduction, 3% sales lift) are specific and credible if achieved by early customers. The consultative approach means you get a tailored setup, which can be valuable for complex retail networks. Weaknesses: Pricing is opaque—no public tiers, no free trial, so you can't evaluate cost-effectiveness without a sales call. This makes it inaccessible to small independents and teams that need self-serve onboarding. There's also no visible integration list or API documentation publicly, which could be a concern if you need to connect to your ERP or POS systems. The platform is web-based, but you'll need to rely on the vendor for implementation guidance. Where it fits: Mid-to-large grocery chains, regional supermarket groups, and fresh-focused retailers with multiple stores and DCs. Teams that care about reducing waste and improving on-shelf availability, and have the operational maturity to act on daily recommendations. Where it doesn't: Small independent stores without the budget for a custom engagement, non-grocery retail, and any buyer who needs transparent pricing or self-serve access.
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Real-world workflow fit
Concrete scenarios for the personas Guac actually fits — and what changes day-one when you adopt it.
Daily ordering
Outcome: Log in to Guac, see AI-recommended order quantities for each produce SKU, adjust based on store conditions, and place orders faster with fewer over/under orders.
Allocation planning
Outcome: Review DC-level demand forecasts and allocation suggestions to distribute perishable goods across stores, minimizing waste and ensuring high-demand stores stay stocked.
Production planning
Outcome: Use recipe management and forecast-driven production plans to prep the right amount of items, reduce spoilage, and align with promotions and events.
Use Cases
- Forecast daily store demand for blueberries using weather and local event data
- Reduce food waste by 38% with AI recommended order quantities
- Plan fresh bakery production based on predicted sales and promotions
- Optimize DC allocation to stores using granular demand forecasts
- Manage recipe changes centrally and push updated production plans to commissaries
Limitations
- The platform is designed specifically for fresh grocery forecasting and replenishment, emphasizing a proprietary AI algorithm with 240+ variables.
- While details on integrations and API availability are not publicly listed, the platform offers a suite of web-based products including store ordering, production planning, and analytics.
- Pricing and specific plan details are only available upon contacting sales.
as of 2026-08-11
Verification history
We have re-verified Guac 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Guac's pricing actually pencils out — and where peers do it cheaper.
Guac's contact-based pricing is best for mid-to-large grocery chains that can afford a custom solution and will see ROI from waste reduction. It's not competitive for small retailers; you'd compare it to other fresh-focused platforms like Spoiler Alert or Afresh, which also use sales-led models.
Setup time & first value
How long it actually takes to get something useful out of Guac — broken out by persona, not the marketing-page minute.
Expect a consultative setup: initial demo and scoping calls, then a custom build taking weeks to months. For a pilot store, you might see first forecasts in a few weeks; full rollout across departments takes longer.
Switching to or from Guac
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Excel/spreadsheets: Guac's consultative team helps map your historical sales data and integrate with your ordering workflows.
- ↗To another forecasting platform (e.g., Afresh): You can export historical forecast and sales data, but expect to rebuild integrations and retrain models.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Guac
Common stack mates teams adopt alongside Guac, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
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ScreenplayIQ and Guac serve completely different industries—entertainment vs. grocery—so the choice depends entirely on your domain. For screenwriters seeking financial feedback on scripts, ScreenplayIQ’s free tier and Pro plan offer clear value, while Guac is purpose-built for fresh grocery operations needing AI-driven demand forecasting. Neither replaces the other; pick based on your sector.
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Choose Nectar Energy if your priority is reducing energy costs and carbon footprint in commercial buildings with automated HVAC/lighting control and built-in ESG reporting. Choose Guac if you run a mid-to-large grocery chain and need to cut fresh food waste by predicting daily demand per SKU per store. They solve completely different problems — let your industry and pain point guide you.
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