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GeoIp2\Model\City Object ( [raw:protected] => Array ( [city] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [continent] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [de] => Nordamerika [en] => North America [es] => Norteamérica [fr] => Amérique du Nord [ja] => 北アメリカ [pt-BR] => América do Norte [ru] => Северная Америка [zh-CN] => 北美洲 ) ) [country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [location] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [postal] => Array ( [code] => 43215 ) [registered_country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( 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[record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [locales:protected] => Array ( [0] => en ) [maxmind:protected] => GeoIp2\Record\MaxMind Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [validAttributes:protected] => Array ( [0] => queriesRemaining ) ) [registeredCountry:protected] => GeoIp2\Record\Country Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names [5] => type ) ) [traits:protected] => GeoIp2\Record\Traits Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [ip_address] => 216.73.216.150 [prefix_len] => 22 [network] => 216.73.216.0/22 ) [validAttributes:protected] => Array ( [0] => autonomousSystemNumber [1] => autonomousSystemOrganization [2] => connectionType [3] => domain [4] => ipAddress [5] => isAnonymous [6] => isAnonymousProxy [7] => isAnonymousVpn [8] => isHostingProvider [9] => isLegitimateProxy [10] => isp [11] => isPublicProxy [12] => isResidentialProxy [13] => isSatelliteProvider [14] => isTorExitNode [15] => mobileCountryCode [16] => mobileNetworkCode [17] => network [18] => organization [19] => staticIpScore [20] => userCount [21] => userType ) ) [city:protected] => GeoIp2\Record\City Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => names ) ) [location:protected] => GeoIp2\Record\Location Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [validAttributes:protected] => Array ( [0] => averageIncome [1] => accuracyRadius [2] => latitude [3] => longitude [4] => metroCode [5] => populationDensity [6] => postalCode [7] => postalConfidence [8] => timeZone ) ) [postal:protected] => GeoIp2\Record\Postal Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => 43215 ) [validAttributes:protected] => Array ( [0] => code [1] => confidence ) ) [subdivisions:protected] => Array ( [0] => GeoIp2\Record\Subdivision Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 5165418 [iso_code] => OH [names] => Array ( [de] => Ohio [en] => Ohio [es] => Ohio [fr] => Ohio [ja] => オハイオ州 [pt-BR] => Ohio [ru] => Огайо [zh-CN] => 俄亥俄州 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isoCode [3] => names ) ) ) )
country : United States
city : Columbus
US
Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )
Actowiz Solutions helped a German fashion retailer cut "Out of Stock" events by 15% by scraping competitor inventory data for smarter planning.
Note: You’ll receive it via email shortly after submitting the form.
In the fast-paced, trend-driven world of German fashion retail, managing inventory effectively is paramount. Our client, a prominent mid-to-high-end fashion retailer, faced significant challenges with "Out of Stock" (OOS) events, particularly for their best-selling items and seasonal collections. These OOS situations not only led to lost sales and customer frustration but also damaged brand loyalty and competitive standing.
Actowiz Solutions partnered with the retailer to develop and implement a sophisticated competitor stock monitoring solution using advanced web scraping technologies. By continuously monitoring the inventory levels of key rivals across the German market, Actowiz enabled the client to anticipate demand, refine their replenishment strategies, and significantly reduce OOS occurrences. The result was a 15% reduction in critical OOS events, a 7% increase in conversion rates for previously problematic products, and a stronger, more agile supply chain.
For any fashion retailer, an empty shelf or an "Out of Stock" notification on an e-commerce site represents a direct loss. For our German client, known for its curated collections and timely drops, these losses were magnified.
The primary objective was clear: leverage external market intelligence to drastically reduce "Out of Stock" events, thereby increasing sales, improving customer experience, and bolstering market share in the competitive German e-commerce fashion landscape.
Actowiz Solutions designed a bespoke Market Intelligence Platform focused on real-time competitor stock data. The solution was built on robust web scraping, intelligent data processing, and seamless integration with the client's existing inventory management systems.
Actowiz developed highly specialized scrapers to target over 50 key competitors, including major online fashion retailers, brand flagships, and luxury boutiques operating in Germany.
To ensure data accuracy, an AI-driven matching engine was developed to correctly associate competitor products with the client's internal SKUs, even when product names or descriptions varied.
A user-friendly dashboard was created, providing the client's merchandising, planning, and buying teams with immediate access to competitor stock insights.
The collected and processed data was integrated via API into the client's existing Enterprise Resource Planning (ERP) and Inventory Management Systems (IMS), enriching their internal demand forecasting models.
Here's an illustrative example of the kind of structured data Actowiz Solutions provided, crucial for the retailer's inventory decisions:
Client_SKU,Client_Product_Name,Competitor_Name,Competitor_Product_URL,Size,Color,Stock_Status,Available_Quantity,Last_Scraped,Competitor_Price,Market_Demand_Indicator PANTS-WIDE-BLACK-38,Women's Wide Leg Trousers (Black),FashionTrendz.de,https://www.fashiontrendz.de/wide-leg-trousers,36,Black,In Stock,15,"2024-02-15 10:00:00",79.99,Medium PANTS-WIDE-BLACK-38,Women's Wide Leg Trousers (Black),DesignerWear.de,https://www.designerwear.de/trousers-black-wide,38,Black,Low Stock,5,"2024-02-15 10:05:00",85.00,High PANTS-WIDE-BLACK-38,Women's Wide Leg Trousers (Black),StyleHub.de,https://www.stylehub.de/trousers-black,40,Black,Out of Stock,0,"2024-02-15 10:10:00",74.50,High DRESS-FLORAL-MIDI-S,Floral Midi Dress (Summer Bloom),FashionTrendz.de,https://www.fashiontrendz.de/floral-midi-dress,S,Floral,In Stock,25,"2024-02-15 10:00:00",120.00,Medium DRESS-FLORAL-MIDI-S,Floral Midi Dress (Summer Bloom),DesignerWear.de,https://www.designerwear.de/midi-summer-dress,M,Floral,Low Stock,8,"2024-02-15 10:05:00",130.00,Medium JACKET-LEATHER-BROWN-M,Classic Leather Jacket (Brown),StyleHub.de,https://www.stylehub.de/leather-jacket,M,Brown,Out of Stock,0,"2024-02-15 10:10:00",299.00,Critical
The most significant impact was the shift from reactive to proactive inventory management. Instead of waiting for their own stock to deplete, the client could see competitors running low on popular items. This allowed them to initiate replenishment orders earlier, ensuring they had stock when market demand was highest.
By having a clearer picture of market demand and competitor availability, the retailer was able to reduce critical Out of Stock events by 15% for their top 20% of SKUs. This directly translated to increased sales, as customers were less likely to encounter "unavailable" messages.
The external data from Actowiz provided a crucial layer of intelligence to the client's internal sales forecasting models. This enriched data led to more accurate predictions, minimizing both OOS situations and costly overstocking.
Consistently having popular items in stock, especially during peak seasons, significantly improved the customer experience. Shoppers appreciated the reliability, leading to increased repeat purchases and stronger brand loyalty. The client's customer satisfaction scores saw a measurable uplift.
The buying team gained insights into which styles and sizes were selling out rapidly across the market, informing future purchasing decisions and allowing them to adjust orders mid-season. The merchandising team could also adjust promotions or visual merchandising based on market availability.
In a crowded market, simply having stock when competitors don't is a major differentiator. The German fashion retailer solidified its position as a reliable source for popular fashion items, gaining market share from less agile competitors.
"Working with Actowiz Solutions has been a game-changer for our inventory strategy. We no longer operate in a vacuum; we have real-time market intelligence that allows us to make smarter, faster decisions. The reduction in OOS events is a testament to their expertise."
— Head of Supply Chain & Operations, German Fashion Retailer
The partnership between Actowiz Solutions and the German fashion retailer exemplifies how targeted web scraping and data intelligence can revolutionize traditional retail operations. By transforming vast amounts of unstructured competitor data into actionable insights, Actowiz enabled the client to move beyond internal sales figures and gain a holistic view of market dynamics. This strategic shift not only addressed the immediate challenge of "Out of Stock" events but also established a foundation for sustained growth, enhanced customer satisfaction, and a more resilient, data-driven supply chain in the highly competitive German fashion market.
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.
Industry:
Fintech / Digital Payments
Result
Accurate daily voucher &
cashback visibility across platforms
“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”
Product Manager, Fintech Platform (India)
✓ Daily voucher & cashback tracking via Push & Pull APIs
Coffee / Beverage / D2C
2x Faster
Smarter product targeting
“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”
Operations Manager, Beanly Coffee
✓ Competitive insights from multiple platforms
Real Estate
Real-time RERA insights for 20+ states
“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”
Data Analyst, Aditya Birla Group
✓ Boosted data acquisition speed by 3×
Organic Grocery / FMCG
Improved
competitive benchmarking
“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”
Product Manager, 24Mantra Organic
✓ Real-time SKU-level tracking
Quick Commerce
Inventory Decisions
“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”
Aarav Shah, Senior Data Analyst, Mensa Brands
✓ 28% product availability accuracy
✓ Reduced OOS by 34% in 3 weeks
3x Faster
improvement in operational efficiency
“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”
Business Development Lead,Organic Tattva
✓ Weekly competitor pricing feeds
Beverage / D2C
Faster
Trend Detection
“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”
Marketing Director, Sleepyowl Coffee
Boosted marketing responsiveness
Enhanced
stock tracking across SKUs
“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”
Growth Analyst, TheBakersDozen.in
✓ Improved rank visibility of top products
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
✔ Scraped Data: Price Insights Top-selling SKUs
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
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