Gifts under Rs. 500
Discover affordable gifts under Rs. 500 at Dandy Lines by DATA. This collection features stylish and thoughtful crockery and home gift sets perfect for birthdays, festivals, or any special occasion. Enjoy budget-friendly gifting without compromising on quality, design, or style. Perfect for gifting loved ones or adding charm to your own home.
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Green Manu Mug with Metallic Design
Regular price Rs. 399.00Regular priceUnit price / perRs. 469.00Sale price Rs. 399.00Sale -
Round Chutney/Sauce Bowl-stylish bowl
Regular price Rs. 499.00Regular priceUnit price / perRs. 699.00Sale price Rs. 499.00Sale -
Black Manu Mug with Metallic Design-Coffee Mugs and Cups
Regular price Rs. 399.00Regular priceUnit price / perRs. 469.00Sale price Rs. 399.00Sale -
Snack / Pasta Bowl-Designer bowl
Regular price Rs. 449.00Regular priceUnit price / perRs. 699.00Sale price Rs. 449.00Sale -
Dandy Lines Panama I Love You Mug
Regular price Rs. 499.00Regular priceUnit price / perRs. 599.00Sale price Rs. 499.00Sale -
Long Fern Platter-Green leaf plates
Regular price Rs. 499.00Regular priceUnit price / perRs. 599.00Sale price Rs. 499.00Sale -
Brown Manu Mug with Metallic Design-Coffee Mugs bone china
Regular price Rs. 399.00Regular priceUnit price / perRs. 469.00Sale price Rs. 399.00Sale -
Fern Leaf (Small) Platter in Green
Regular price Rs. 499.00Regular priceUnit price / perRs. 799.00Sale price Rs. 499.00Sale -
Medium Leaf Circle Bowl
Regular price Rs. 499.00Regular priceUnit price / perRs. 699.00Sale price Rs. 499.00Sale -
Raj Chutney / Sauce Bowl-stylish bowl set
Regular price Rs. 499.00Regular priceUnit price / perRs. 699.00Sale price Rs. 499.00Sale -
Heart Chutney/Sauce Bowl-heart shape bowl
Regular price Rs. 499.00Regular priceUnit price / perRs. 699.00Sale price Rs. 499.00Sale -
DATA Zen Tea Set in Green, Set of 4
Regular price Rs. 499.00Regular priceUnit price / perRs. 599.00Sale price Rs. 499.00Sale
Care & Maintenance of Fine Bone China and Ceramic Tableware
Your tableware from Dandy Lines by DATA is crafted to be both beautiful and durable. Our Fine Bone China and premium Ceramic Ware are fired at high temperatures to create strength, smooth texture, and long-lasting finish. With proper care, your pieces will remain elegant and functional for many years.
Daily Use & Cleaning
Hand-washing is recommended for most pieces, especially those with gold or platinum detailing.
If using a dishwasher, choose the gentle or low-heat cycle and use mild, non-abrasive detergents.
Avoid harsh scrubbers. Soft sponges or microfiber cloths maintain the glaze and finish.
Rinse pieces soon after use to prevent stains from settling, particularly from strong-coloured foods.
Let your crockery cool naturally before washing. Avoid sudden temperature shifts (hot to cold or cold to hot) as this may cause cracks.
Important Note on Gold & Platinum
Tableware with gold or platinum rims, artwork, or accents must not be microwaved.
These metallic finishes are decorative elements and can react badly in the microwave.
For such pieces, avoid high-heat dishwasher cycles and always use gentle cleaning methods to preserve their shine.
Storage & Handling
When stacking plates and bowls, place a soft cloth or tissue between each piece to avoid surface scratches.
Store your tableware in a dry space, away from direct sunlight, to maintain glaze and colour.
Avoid placing heavy items on top of stacked crockery to prevent pressure cracks.
If displayed on open shelves, dust occasionally to keep the pieces looking fresh.
Cutlery Marks & Surface Care
Light grey cutlery marks may appear over time with use. This is normal and not a defect.
These can usually be removed gently with a non-abrasive ceramic cleanser or soft polishing paste.
Avoid harsh cleaners, bleach, or abrasive tools that can damage the glaze.
Designed for Everyday Elegance
Your Dandy Lines by DATA pieces are made to be used and enjoyed. With simple, mindful care, they will continue to enhance your daily meals, festive gatherings, and treasured rituals, becoming part of the stories and memories created around your table.











