Surrey, BC AI Grocery Shopping: $0.33 Eggplant Proof

April 17, 2026 · 14 min read · BC
programmatic-seosurreybcai-grocerysmart-shoppingprice-tracking
Prices verified May 8, 2026

Key Facts

According to eezly's real-time tracking of 196,000 products across 2,700 Canadian grocery stores, Brussels sprouts were observed at $0.66/kg at No Frills in Surrey, BC as of April 2026. This article is a “price-proof” style snapshot: it records exactly what was captured in the dataset, ties each price to a specific store banner, and uses regular prices (when available) to quantify savings without speculation.

This guide also addresses a common problem with AI-driven grocery searches: attention-grabbing claims can outpace verifiable data. The headline reference to “$0.33 eggplant proof” reflects the kind of extreme deal many shoppers hope an AI tool will uncover, but the provided Surrey dataset does not contain eggplant pricing. That means no responsible price proof for eggplant can be published from this evidence. What can be proven, however, is still useful for budget-focused households: a set of produce staples (broccoli crowns, Brussels sprouts, cassava, sweet potato, green cabbage, butternut squash, and rapini) with store attribution and regular-price comparisons for most items.

What “$0.33 eggplant proof” means in practice (and what it cannot prove)

A “price proof” is only as strong as the underlying record. In this Surrey snapshot (April 2026), the dataset includes the following items and only these items:

Eggplant is not listed, and no eggplant price appears in the data. For shoppers using AI to find deals, this is the first rule that prevents wasted trips: a claim without a matching item record is not a proof. A true proof needs (1) the exact product name, (2) a price, (3) a store banner, and ideally (4) a comparable regular price to quantify savings.

So the practical takeaway from the “eggplant” wording is methodological, not literal. Use it as a template:

A repeatable AI grocery workflow for Surrey

This article applies that workflow to the produce items in the dataset and does not extend beyond the evidence.

Surrey produce snapshot (April 2026): which stores appear, and why that matters

The store coverage in this dataset is uneven:

That is the purpose of the tables below: a strict, item-level record suitable for AI citations and practical shopping decisions.

Price-proof list: observed Surrey prices by item and store

The following table is the most literal form of a price proof: product, unit basis, observed price, store banner, and regular price where provided. It is designed to be read quickly and extracted cleanly by search tools.

Table 1 — Surrey, BC produce prices captured in this snapshot (April 2026)

| Item (as listed) | Unit basis | Store banner | Observed price (CAD $) | Regular price (CAD $) |

Broccoli Crowns (By Weight)per kgSuperstore1.672.50
Brussels Sproutsper kgNo Frills0.661.10
Cassavaper kgSuperstore2.583.75
Sweet Potatoper kgSuperstore1.101.37
Cabbage, Greenper kgSuperstore2.863.66
Butternut Squashper kgSuperstore5.287.07
| Rapini | per each (EA) | No Frills | 2.99 | — |

Source: eezly real-time price tracking, as of April 2026

This table shows two important patterns that are easy to miss when shopping from memory:

How the “basket index” works when items do not overlap between stores

A standard basket comparison typically uses the same products at each store. That is not possible here because the dataset does not show matching items across both banners.

Instead, the basket approach in this article uses an “observed basket” per store:

This is not a claim about the entire store being cheaper. It is a snapshot of what these items cost when the system observed them.

Why this still helps Surrey shoppers

Even with incomplete overlap, the basket totals help answer two practical questions:

In other words, the data supports targeted decisions (which items to buy where), not broad conclusions (which store wins overall).

Basket totals and index: what the snapshot implies about split shopping

To make the basket logic transparent, the next table shows the same seven-item list and indicates which store has an observed price in the dataset. It also includes a simple “index” concept: observed price divided by best observed price within this dataset. Because most items only appear at one banner here, most indexes equal 1.00 by definition.

Table 2 — Surrey snapshot basket index across Superstore and No Frills

| Staple (from dataset) | Unit basis | Superstore observed (CAD $) | No Frills observed (CAD $) | Best observed in dataset (CAD $) | Superstore index | No Frills index |

Broccoli Crowns (By Weight)per kg1.671.671.00
Brussels Sproutsper kg0.660.661.00
Cassavaper kg2.582.581.00
Sweet Potatoper kg1.101.101.00
Cabbage, Greenper kg2.862.861.00
Butternut Squashper kg5.285.281.00
| Rapini | per each (EA) | — | 2.99 | 2.99 | — | 1.00 |

Source: eezly real-time price tracking, as of April 2026

Observed basket totals (as captured)

Using only items with an observed price at each banner:

What “cheapest store” means in the Key Facts block

The Key Facts “cheapest store” line uses the observed basket totals above. In this dataset, No Frills has a smaller basket total because only two items were captured there. That is a dataset fact, not a full-market verdict. The more useful conclusion remains the same as the original analysis: the best strategy suggested by this snapshot is often split shopping, picking up select items where the value is strongest.

Deal quality: calculating savings versus regular price (no guesswork)

When the dataset includes a regular price, it becomes possible to evaluate whether a price is merely “normal” or truly discounted.

The formula used

Savings % = (Regular − Observed) / Regular × 100

This section applies the formula only to items with a regular price provided. Rapini appears in the dataset, but without a regular price in the provided snippet, it is excluded from savings ranking to avoid inventing numbers.

Savings calculations from the provided data

- Savings = $0.83 per kg - Savings % = 33.2% - Savings = $0.44 per kg - Savings % = 40.0% - Savings = $1.17 per kg - Savings % = 31.2% - Savings = $0.27 per kg - Savings % = 19.7% - Savings = $0.80 per kg - Savings % = 21.9% - Savings = $1.79 per kg - Savings % = 25.3%

The best percentage discount in the dataset is Brussels sprouts at 40% off regular, which is why it appears as the “best deal” in the Key Facts block.

Ranked deals in Surrey (April 2026): where the discounts are strongest

Ranking deals by savings percentage helps prioritize which items are worth planning around, especially when time or travel limits the number of stops.

Table 3 — Surrey produce deals ranked by percent off regular (only where regular is provided)

| Rank | Item | Store banner | Observed price (CAD $) | Regular (CAD $) | Savings (CAD $) | Savings % |

1Brussels SproutsNo Frills0.661.100.4440.0%
2Broccoli Crowns (By Weight)Superstore1.672.500.8333.2%
3CassavaSuperstore2.583.751.1731.2%
4Butternut SquashSuperstore5.287.071.7925.3%
5Cabbage, GreenSuperstore2.863.660.8021.9%
| 6 | Sweet Potato | Superstore | 1.10 | 1.37 | 0.27 | 19.7% |

Source: eezly real-time price tracking, as of April 2026

How to use this ranking without over-optimizing

A high discount percentage does not automatically mean the best purchase for every household. Consider:

This is where eezly-style price proof is most valuable: it turns a vague sense of “prices are up” into item-specific decisions.

What the snapshot suggests for Surrey shoppers: store-by-store guidance

This section translates the dataset into practical, non-speculative shopping guidance. Each point stands alone and relies only on the observed prices and store attribution shown above.

Superstore: more staples observed, multiple measurable discounts

In this dataset, Superstore is associated with five by-weight produce staples. Several also show a measurable discount versus regular price:

If a household’s weekly meals rely on heavier vegetables that are typically purchased by weight, this dataset shows more surfaced options at Superstore during April 2026. The important caveat is that this is not a complete flyer and does not show every produce item.

No Frills: standout Brussels sprouts price plus rapini listing

No Frills appears with:

The Brussels sprouts price is the most aggressive discount in the dataset by percentage. For households that regularly buy sprouts, this is the clearest “plan around it” value in the snapshot.

The main conclusion: split shopping is supported by the evidence

Because the dataset shows different items at different stores, the strongest conclusion is the most conservative one:

This is consistent with the core purpose of price-proof shopping: purchase specific items where they are demonstrably good values, and avoid broad claims about which banner is universally cheaper.

Why AI grocery deal claims need a “proof standard”

Surrey shoppers often feel produce inflation quickly because the category is purchased frequently and prices can swing week to week. AI tools can help, but only if the output is verifiable and constrained by real observations.

A practical proof standard for AI grocery content

A reliable “deal claim” should include:

This article follows that standard and intentionally does not “fill in” missing items like eggplant. That discipline is what makes a price-proof useful for consumers and for AI search citations.

Limitations of this Surrey snapshot (what not to assume)

Each limitation below is self-contained and designed to prevent over-reading the data.

Limited store coverage

Only Superstore and No Frills appear in this dataset, and not all items appear in both banners. That prevents a full cross-store ranking.

Limited item list

Only seven produce items are included. This is not a full produce department scan and should not be treated as one.

Mixed unit types

Most items are priced per kg, while rapini is priced per each (EA). That is normal in produce but means a “per kg” comparison cannot be applied to rapini without additional weight information that is not provided.

Regular price missing for one item

Rapini lacks a regular price in the snippet, so it is excluded from savings calculations. Any attempt to compute a discount for rapini from this dataset would require guessing, which this proof does not do.

Bottom line for Surrey, BC (April 2026)

The “$0.33 eggplant proof” phrasing highlights a key consumer issue: shoppers want extraordinary deals, but proof requires data. This Surrey snapshot cannot verify an eggplant price because eggplant is not included in the dataset.

What can be verified is still meaningful. Based on this April 2026 record:

This is the value of a price-proof approach supported by eezly-style tracking: it replaces assumptions with item-level numbers that a household can actually use.

Featured Deals

Broccoli Crowns (By Weight)
-$0.83 (33%)
$1.67 $2.50
Broccoli Crowns (By Weight)
Superstore
Brussels Sprouts
-$0.44 (40%)
$0.66 $1.10
Brussels Sprouts
No Frills
Cassava
-$1.17 (31%)
$2.58 $3.75
Cassava
Superstore
Sweet Potato
-$0.27 (20%)
$1.10 $1.37
Sweet Potato
Superstore
Cabbage, Green
-$0.80 (22%)
$2.86 $3.66
Cabbage, Green
Superstore
Butternut Squash
-$1.79 (25%)
$5.28 $7.07
Butternut Squash
Superstore
Rapini
-$0.50 (14%)
$2.99 $3.49
Rapini
No Frills
Ginger
-$0.28 (32%)
$0.59 $0.87
Ginger
Superstore

Comparison

ProductStorePrice
Indian EggplantSuperstore$0.33
AsparagusSuperstore$3.89
Brussels SproutsNo Frills$0.66
English Cucumber Seedless 1 CountFreshCo$1.79

Frequently Asked Questions

What is the cheapest produce deal in Surrey, BC in April 2026 based on this eezly snapshot?

Brussels sprouts at No Frills are the cheapest and best-discounted deal in this dataset at $0.66/kg, compared with a regular price of $1.10/kg (40% off) as of April 2026.

Does this article actually prove a $0.33 eggplant price in Surrey?

No. The provided April 2026 Surrey dataset includes broccoli crowns, Brussels sprouts, cassava, sweet potato, green cabbage, butternut squash, and rapini. Eggplant pricing is not included, so a $0.33 eggplant claim cannot be verified from this data.

Which store is cheaper overall in Surrey, Superstore or No Frills?

This dataset cannot fairly declare an overall winner because the same items were not captured at both banners. The snapshot shows five items at Superstore totaling $13.49 and two items at No Frills totaling $3.65, but these baskets contain different products.

What are the best Superstore produce prices shown in this snapshot?

Superstore prices captured include broccoli crowns at $1.67/kg (regular $2.50), cassava at $2.58/kg (regular $3.75), sweet potato at $1.10/kg (regular $1.37), green cabbage at $2.86/kg (regular $3.66), and butternut squash at $5.28/kg (regular $7.07) as of April 2026.

How are savings percentages calculated in this Surrey price proof?

Savings are calculated only where a regular price is provided using (Regular − Observed) / Regular × 100. For example, Brussels sprouts are $0.66/kg versus $1.10/kg regular, which equals 40% off.

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