A 1-day delivery marketplace can’t win on speed if shoppers think it is overpriced
How Teez partnered with PricingCraft to turn daily competitor pricing across 15,000+ listings into an operating system their pricing team could actually use.
15,000+
Listings Monitored
4
Marketplaces Tracked
Daily
Automated Updates
100%
City-Level Context
Who the client is and
why pricing visibility was mission-critical
Teez is an e-commerce project and next-generation marketplace from Kazakhstan built around a simple promise: 1-day delivery. That promise is only possible because they run their own logistics and fulfillment ecosystem, including last-mile operations, so the customer experience stays consistent from checkout to doorstep.
They also operate like a real marketplace: a broad assortment across categories (electronics, apparel, FMCG, and the long tail in between) and a clear ambition to compete with much larger players in the region through speed, localized service, and process digitization.
But here’s the catch Teez ran into while scaling: speed stops being a differentiator when the price gap feels too wide. Shoppers will wait longer if they believe the deal is meaningfully better elsewhere. For Teez, pricing work was not about “tracking competitors” in the abstract. It was about protecting price perception at the SKU level, by city, with delivery context attached:
- What does the exact product cost today across key marketplaces in a specific city?
- Is the real selling price the discounted price, a loyalty-wallet price, or a promo-driven “old price” story?
- Is the competitor even in stock, and if not, should Teez push harder on its own inventory right now?
- Can Teez bring sellers clear market data to justify promo participation and show demand potential?
They needed answers daily, not when someone had time to check.
What the situation looked like before we partnered
Before PricingCraft, Teez managed pricing by manually checking a limited set of indicator products (KVIs). That approach can work early on. It breaks the moment your catalog and competitive set grow.
The business impact was straightforward and painful:
- Up to 90% of the assortment sat in a blind zone with no daily market context.
- Category managers couldn’t react quickly when competitors launched promos.
- Pricing decisions swung between two bad outcomes: lost sales when prices were too high, or margin left on the table when prices were lowered unnecessarily (especially when competitors were out of stock).
There was no systematic way to connect “price” with “delivery reality,” which matters a lot when your entire brand is “get it tomorrow.”
The brief
Together, we aligned on goals that tied directly to commercial outcomes:
What changed after launch
- Daily automated monitoring across 4 marketplaces, replacing manual checks.
- Coverage expanded to 15,000+ links monitored once per day across categories, from household goods and cosmetics to electronics.
- Blind spots shrank dramatically from “up to 90% of the assortment” to consistent daily visibility across the catalog, including long-tail SKUs where competition is often lower and margin can be healthier.
- Faster promo response: pricing teams could see discounted price, old price, loyalty price, and promo badges with dates, then adjust without waiting for ad-hoc checks.
- Inventory-aware decisions: when key competitors showed out-of-stock status, Teez had a clear signal to push comparable in-stock items harder instead of discounting blindly.
- The team used the platform directly for day-to-day work and produced file-based reports for internal workflows and stakeholder updates.
I’ve seen teams drown in competitor data and still make slow decisions because the pipeline isn’t reliable or the metrics don’t match how the business operates. Our job here was to make the market legible every morning: accurate prices, city-specific context, and exports the team could trust.
How the rollout actually happened
We treated this like building an operational habit, not installing a “tool.”
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Step 1: Align on what “truth” meanss
For a 1-day delivery marketplace, the shelf price alone is not enough. We mapped the exact fields the team needed to make decisions by city: regular price, discounted price, old price, loyalty-wallet price; stock status and stock levels (when visible); delivery terms; promo badges and promo duration; seller/merchant name; rating and review count.
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Step 2: We built city-specific scrapers for each target marketplace
That detail mattered because many marketplaces change price, availability, and delivery promises based on region. If the data isn’t localized, it is easy to make the wrong call with high confidence.
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Step 3: Workflow setup & onboarding
Teez’s team curated the initial link list, and we helped them structure it so monitoring would stay manageable as it scaled. Links were uploaded into the PricingCraft platform, monitoring was launched, and we ran a short training session with the pricing team: how to manage links, how to launch monitoring cycles, how to review trends in the dashboard, and how to export reports into files for internal distribution.
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Step 4: Scale to 15,000+ links
Once the team was comfortable, scale happened fast. Monitoring grew to more than 15,000 links across categories, collected once per day.
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Step 5: Shift to inventory-aware decisions
Teez began using competitor out-of-stock signals to push in-stock substitutes more aggressively, and used the broader catalog view to spot long-tail opportunities that manual KVI tracking would never catch.
Inside the Platform: City-Level Pricing & Delivery Context
To protect Teez’s sensitive commercial data, the screenshot below uses anonymized sample data. However, the interface itself is exactly what your team would use day-to-day. It shows how the platform structure allows you to track actual selling prices, promo mechanics, and stock status across specific cities.
Explore full platform capabilities for online retailers →
Challenges we hit and how we handled them
Fast start without pulling IT off core priorities
Teez is a fast-growing tech company. Their engineering team needed to stay focused on product development, not scrapers. We set the project up to run through the commercial team from day one via the PricingCraft platform interface. No custom internal development, no backlog negotiations.
Resolution: Commercial-led platform onboarding
Keeping data stable when marketplaces change
The target marketplaces use serious anti-scraping measures and update their layouts often. PricingCraft handled this as an engineering reliability problem. We kept the complexity “under the hood” by maintaining the infrastructure and adapting pipelines when site changes occurred.
Resolution: Fully managed scraping infrastructure
Two niche lessons for marketplaces competing on 1-day delivery
Lesson 01
Price perception is “delivered reality”
If your promise is speed, customers compare your price to slower delivery options every day. A useful monitoring system needs city-level delivery context and real selling prices (discount + loyalty mechanics).
Lesson 02
Out-of-stock is a pricing signal
When competitors run out, you don’t automatically match their last visible price. Sometimes the smarter move is to protect margin and put marketing weight behind what you already have in stock. Daily tracking makes this obvious.
Want the same kind of daily market visibility?
If you’re running pricing for a retailer, brand, or marketplace seller, you already know the trap: manual checks feel “good enough” until your catalog grows, promos speed up, and you realize your team is making decisions with partial information.
PricingCraft works best when you want a partner who will get the data right, keep it reliable, and connect it to how your business actually operates. Start with the platform for daily monitoring, and extend it with custom scraping when things get messy.