Real-Time Coles & Woolworths Price-Change Alerts

4

AU SUPERMARKETS

15 min

ALERT LATENCY

2,400

SKUs MONITORED

AU$5.2M

ANNUAL UPLIFT

Client Overview

The client is the Australian arm of a global FMCG corporation, headquartered in Melbourne and operating across packaged food, condiments, and beverage categories. Their products are stocked in over 4,000 Australian grocery stores — primarily through Coles and Woolworths, which together control over 65% of Australian grocery retail.

Australian grocery is a near-duopoly. Coles and Woolworths set the competitive tempo, with IGA and ALDI as significant secondary forces. Pricing moves cascade quickly: when Woolworths drops a competitor's pasta sauce 22%, Coles often follows within 24-48 hours, and the client's own product can be deranged or repriced under pressure. For a major brand with 800+ active Australian SKUs, missing these price moves — even by a day — directly costs share, ranging position, and trade spend efficiency.

Before this project, the client's Australian team relied on weekly category reports from Nielsen and IRI plus daily manual checks by their trade marketing team. Both were too slow. A Woolworths price drop on Monday morning often did not reach the right decision-maker until Wednesday's commercial meeting — by which point Coles had matched, the client's brand had lost two days of visibility, and the trade marketing manager had to explain why.

Why Australian Grocery Demands Real-Time Pricing Intelligence

Coles and Woolworths between them set Australia's grocery price tempo. Reaction windows are measured in hours, not days. Manual monitoring across 4 chains × 2,400 SKUs is operationally impossible. Without real-time detection, FMCG brands routinely lose share to competitors who reprice or promote first — and the losses compound across the quarter.

Business Challenges

Before partnering with Actowiz Solutions, the client's Australian team faced five interconnected operational gaps:

Challenge #1 — Weekly Reports, Daily Decisions

Nielsen and IRI weekly category reports were strategically excellent but tactically useless for real-time competitive response. Trade marketing decisions had to happen daily — sometimes hourly — but the data lagged by 5-7 days. The team was, in effect, driving by looking through a rear-view mirror.

Challenge #2 — Coles vs Woolworths Cascade Effect

Australian grocery price moves cascade. Woolworths drops a price; Coles often matches within 24-48 hours; IGA and ALDI position accordingly. The client needed to detect the originating move within the first hour to influence its own next response — not after the cascade had already played out across the duopoly.

Challenge #3 — Promo Start/End Blindspots

Australian supermarket promotions run weekly (typically Wednesday to Tuesday). Catching a competitor's promo on Day 1 versus Day 6 made enormous difference to the client's response window. Manual checks routinely missed Day 1 launches — sometimes catching them only when consumers were already through the promo cycle.

Challenge #4 — Multi-State Pricing Variation

Some pricing varied across Australian states — particularly for regional products and state-specific promotional activity. A national-average view masked important state-level dynamics that materially affected trade decisions in NSW, VIC, QLD, WA, and SA.

Challenge #5 — Alert Fatigue from Wrong Tools

Earlier attempts to use generic price-tracking tools produced floods of irrelevant alerts — every minor SKU variation rang an alarm. The team learned to ignore the system. The new pipeline had to be smart: alert only on material changes, classified by type and importance.

Project Objectives

Together with Actowiz Solutions, the Melbourne team defined six measurable objectives:

• Detect every price change on 800 client + 1,600 competitor SKUs across 4 Australian chains within 15 minutes
• Classify each change by type: promo start, promo end, base price up/down, multi-buy, was-now, low-low
• Surface state-level pricing variation across NSW, VIC, QLD, WA, SA, TAS, ACT, NT
• Suppress noise — alerts only on material changes filtered by the client's defined rules
• Deliver via the channels the team already used: Slack, Teams, email, Power BI
• Maintain Australian Privacy Act 1988 compliance — pricing data only, no personal data

Actowiz Solutions Approach

Actowiz built a 5-stage real-time price-change detection pipeline tuned to Australian grocery's specific dynamics:

1. CAPTURE
   4 chain crawlers × all AU states
2. MATCH
   SKU mapping across chains
3. DIFF
   15-min change detection
4. CLASSIFY
   Change-type tagging + filtering
5. ALERT
   Slack + Teams + email + API

Stage 1 — 4 Chain-Specific Crawlers Across States

Actowiz built dedicated crawlers for Coles, Woolworths, IGA, and ALDI — each tuned to its target's e-commerce structure and defences. Australia-region residential proxy infrastructure rotated across all states, simulating customer postcodes across capital and regional locations to capture state-level pricing variation. Crawl windows were tuned to each chain's natural refresh tempo — Coles and Woolworths on a 15-minute cycle, IGA and ALDI on a 30-minute cycle (lower price-change frequency).

Stage 2 — Cross-Chain SKU Matching

The same client SKU appears under different IDs and titles on each chain. Coles' product page for the client's hero pasta sauce uses one SKU; Woolworths uses another; IGA and ALDI use private-label equivalents that need separate competitive treatment. Actowiz built canonical mappings linking each client SKU to its representation across all four chains, plus mappings to the top competitor SKUs in each category — enabling like-for-like price comparison.

Stage 3 — 15-Minute Diff Engine

Every 15 minutes, the pipeline diffs the current capture against the prior one for each SKU. Detected differences are recorded as structured change events: SKU ID, chain, state, prior price, new price, change type, change magnitude, timestamp. This event stream is the foundation of everything downstream — alerts, dashboards, reporting, and historical analysis.

Stage 4 — Change Classification & Filtering

Raw change events were classified into 7 categories: Promo Start, Promo End, Base Price Increase, Base Price Decrease, Multi-Buy Launch, Multi-Buy End, and Was/Now Display Change. Filtering rules — defined collaboratively with the client's trade marketing team — suppressed minor changes (rounding adjustments under AU$0.05, end-of-day catalogue refreshes, identifiable system noise). Only material, classified events reached the alert layer.

Stage 5 — Multi-Channel Alert Delivery

Alerts flowed through the channels the team already used. Slack channels for category teams (one channel per category). Microsoft Teams notifications for cross-functional stakeholders. Email digests for senior trade marketing leadership (twice daily). API webhooks into the client's internal pricing tools. Power BI dashboards for analytical exploration. Same data, different access patterns — meeting people where they already worked.

Operational Wins

• Average detection latency: 9 minutes (vs 15-min target; vs 4-7 days pre-Actowiz)
• Trade marketing response speed: from 48-72 hours to 12-18 hours typical (3.6× faster)
• Alert accuracy: 94% — meaning 94% of alerts represented material competitive events worth reviewing
• Manual price-checking labour: reduced by 78% — team redeployed to higher-value activation work
• Coles-Woolworths cascade detection: now captured 92% of cascade initiating moves within first hour
• Identified 23 state-specific competitor promotional activities the prior system would have missed entirely

Client Testimonial

"We were running an Australian FMCG business in 2026 with pricing intelligence that was effectively from a different week. Nielsen and IRI are essential for strategy, but they don't help when Woolworths drops a competitor product 50% on Wednesday morning. Actowiz changed that completely. Within minutes of any price move on Coles, Woolworths, IGA or ALDI, my team knows. We respond before the cascade completes, not after. AU$5.2M in annualised value is real — but the strategic shift, from reactive to proactive, is what changed how this team operates."

— Trade Marketing Manager — Australia, Global FMCG Brand, Melbourne